diff --git a/cookbooks/eval_script.ipynb b/cookbooks/eval_script.ipynb new file mode 100644 index 0000000..e683bca --- /dev/null +++ b/cookbooks/eval_script.ipynb @@ -0,0 +1,3069 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "IBORdeBAm2wf", + "outputId": "9af37d1c-5779-443a-84ea-7f52790523aa" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[2mUsing Python 3.10.10 environment at: /home/zeus/miniconda3/envs/cloudspace\u001b[0m\n", + "\u001b[2mAudited \u001b[1m1 package\u001b[0m \u001b[2min 11ms\u001b[0m\u001b[0m\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[2mUsing Python 3.10.10 environment at: /home/zeus/miniconda3/envs/cloudspace\u001b[0m\n", + "\u001b[2mAudited \u001b[1m2 packages\u001b[0m \u001b[2min 13ms\u001b[0m\u001b[0m\n", + "\u001b[2mUsing Python 3.10.10 environment at: /home/zeus/miniconda3/envs/cloudspace\u001b[0m\n", + "\u001b[2K\u001b[2mResolved \u001b[1m401 packages\u001b[0m \u001b[2min 197ms\u001b[0m\u001b[0m \u001b[0m\n", + "\u001b[2mAudited \u001b[1m401 packages\u001b[0m \u001b[2min 0.16ms\u001b[0m\u001b[0m\n" + ] + } + ], + "source": [ + "!uv pip install torchvision\n", + "!uv pip install datasets transformers\n", + "!uv pip install \"camel-ai[all] @ git+https://github.com/camel-ai/camel.git\"" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "id": "mHYpbt_Ti75L" + }, + "outputs": [], + "source": [ + "import asyncio\n", + "import os\n", + "import json\n", + "from tqdm import tqdm\n", + "import pandas as pd\n", + "from typing import List, Dict\n", + "from datasets import load_dataset\n", + "from transformers import AutoModelForCausalLM, AutoTokenizer\n", + "import torch\n", + "import asyncio.exceptions\n", + "\n", + "from camel.extractors import BaseExtractor, BoxedStrategy\n", + "from camel.verifiers import MathVerifier, VerificationOutcome\n", + "from camel.logger import get_logger, set_log_level\n", + "\n", + "# Set up logger\n", + "logger = get_logger(__name__)\n", + "set_log_level('INFO')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "nGn9qw4PjB8e", + "outputId": "a170c39a-a412-4dfd-fb92-e3781782adc3" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2025-04-11 13:48:40,769 - camel.__main__ - INFO - Setting up extractor...\n", + "2025-04-11 13:48:41,771 - camel.camel.extractors.base - INFO - BaseExtractor initialized successfully\n", + "2025-04-11 13:48:41,772 - camel.__main__ - INFO - Testing extractor with: The answer is $\\boxed{\\dfrac{9}{7}}$ vertical asymptotes.\n", + "2025-04-11 13:48:41,773 - camel.__main__ - INFO - Extractor test result: \\dfrac{9}{7} (type: )\n" + ] + } + ], + "source": [ + "# Initialize extractor\n", + "logger.info(\"Setting up extractor...\")\n", + "extractor = BaseExtractor([[BoxedStrategy()]])\n", + "await extractor.setup()\n", + "\n", + "test_string = \"The answer is $\\\\boxed{\\\\dfrac{9}{7}}$ vertical asymptotes.\"\n", + "logger.info(f\"Testing extractor with: {test_string}\")\n", + "test_result = await extractor.extract(test_string)\n", + "logger.info(f\"Extractor test result: {test_result} (type: {type(test_result)})\")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "8cunSz3ejHYh", + "outputId": "149d0c32-97fe-4139-a09d-ff409e4c9757" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2025-04-11 13:48:42,130 - camel.__main__ - INFO - Setting up math verifier...\n", + "2025-04-11 13:48:44,134 - camel.camel.verifiers.base - INFO - MathVerifier initialized with batch_size=10, max_parallel=1\n" + ] + } + ], + "source": [ + "# Initialize math verifier with extractor\n", + "logger.info(\"Setting up math verifier...\")\n", + "math_verifier = MathVerifier(\n", + " extractor=extractor,\n", + " float_rounding=6,\n", + " numeric_precision=15,\n", + " enable_wrapping=True\n", + ")\n", + "await math_verifier.setup()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "g2mcuweOmjO7", + "outputId": "04d89706-58c4-4abb-f59c-285a0e5c95ef" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "VerificationResult(status=, result='$$ 2 $$', duration=0.3955972194671631, timestamp=datetime.datetime(2025, 4, 11, 13, 48, 44, 905306), metadata={'attempt': 1}, error_message=None)" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "await math_verifier.verify(\"the solution is \\\\boxed{2}\", \"4/2\")" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 248, + "referenced_widgets": [ + "cd9eb9e46d99493da616aaa0c005adab", + "d9f9082f8a2d4f57b2ddf9af3729126f", + "763b7235e17b4efc843954c03decfef9", + "712a3ea6facc4214bc0931554682f182", + "5cf88e9200374f89908baa9ed3750b73", + "07f0345df98641e19591e866d17e9338", + "11d37c60349b4232a38326e11d73c955", + "dd6d3994843b4d3795b54f383c12c4fc", + "28ca096740324eb788bb8fa4e8a5ae4c", + "40231dc51aa6445e978f91a58a72a278", + "c6a020718b954c5bb2e809b236e38bfb", + "be5bff64a3b743e4a897869ed28a6d83", + "446577a1cfdc4420ac9db8048128987a", + "5fe3c3f69588461ca6c305e45753a5a2", + "3fba416108b845d5ac09dd8ffcd7b8b9", + "0a695c726bcd41a3a94bd8bb352ca730", + "29336b9fba7248829fa9d788146ab2f8", + "a628f930974a4e51a1cc4312b6bde3e9", + "1c1b46c65c5047efb428433836a21ff2", + "2e6e36ebe0084e81ba7d1d10db67017e", + "e8a831a4adfe40e59b39308b3d62bdaf", + "478c5a4976f447b09eba865c1a67a676" + ] + }, + "id": "ln7p_YXzjPzw", + "outputId": "79af8ba3-7578-4c68-bda2-81c16cf405a6" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2025-04-11 13:48:46,460 - camel.__main__ - INFO - Initializing Qwen model...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Sliding Window Attention is enabled but not implemented for `sdpa`; unexpected results may be encountered.\n" + ] + } + ], + "source": [ + "# Initialize Qwen model\n", + "logger.info(\"Initializing Qwen model...\")\n", + "model_name = \"Qwen/Qwen2.5-0.5B-Instruct\"\n", + "\n", + "device = \"cuda\" if torch.cuda.is_available else \"cpu\"\n", + "\n", + "tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)\n", + "model = AutoModelForCausalLM.from_pretrained(\n", + " model_name,\n", + " trust_remote_code=True,\n", + " torch_dtype=torch.float16\n", + ").to(device)\n", + "\n", + "\n", + "# Define the prompt template with clearer formatting instructions\n", + "SYSTEM_PROMPT = \"\"\"You are an agent designed to answer mathematical questions with clarity and precision. Your task is to provide a step-by-step explanation for\n", + "any mathematical problem posed by the user, ensuring the response is easy to follow. Adhere to these guidelines:\n", + "Analyze the mathematical question carefully and break down the solution process into clear, logical steps.\n", + "Use natural language to explain each step, incorporating LaTeX notation (e.g., $x + 2$)\n", + "for mathematical expressions when helpful. Conclude your response with the final answer enclosed\n", + "in a LaTeX \\\\boxed{} environment (e.g., \\\\boxed{5}).\n", + "Place this at the end of your explanation as a standalone statement.\"\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 195, + "referenced_widgets": [ + "7f920d1fe9f8410680e015c5f0f81c3c", + "aaad6ed4015b4925916fc33f5a147bed", + "dbf1cb6ae8274756a870089813cc8c2d", + "fd40a26ec7684bb5bdab0f8eb1a864ff", + "2b466d14d0f84abab479968b31096f2e", + "71d137eb15d84a8195676dd885061848", + "a73a777f7e514502b6cfe827bf0d102a", + "8e6a0dff66e94f97b77e582c4190d952", + "544b14b60a4b498293174d6a14b10297", + "f1a7d6e2ba9945a7af21d72a602a3a1a", + "f5b0b00b743749a8b210337b57d4af26", + "dd97b856ea394b178897cec42b08b989", + "92c9241a86b4458a9686a0c89624ffce", + "dda40f1dc1e24b5c8f44a91694070134", + "ecda040400f54d29a1628e31a7bd0c59", + "d69709f05ec848c0acb4912d3fba2816", + "0acc80f821ca4dae9fd117ab13ed6d6b", + "224d5cd39aff443a90fda5543de9cd36", + "c8a188adaea24011829fee34c49e26ae", + "1af7a743f38c49788ff17bbb6a92500b", + "2136898d479e4235ab237027bb6e3553", + "87dd4a993a1a40e09961b8caf0e55fa4", + "efe295dd88a240468e16285ca0a5be12", + "4d686aa2e04740ad9ac30ec0a7556e6d", + "1148aaa768a14fe8b6f12bb569de9227", + "f384d6ace8c845c886080348e38066c1", + "a18ca3f5555341879b3e0c62e180c3d3", + "0551bcfc3e4c4c8e9769cc35770be37f", + "46f2eb2a5b3f4678ad22529e826d1a12", + "3c8848fa65d343a5a63b16749eb6cb76", + "8711fa80a24f4a71915a07a822f24606", + "be6ef86dd0af48a5be38d43957b78e78", + "9a01962cb54c40f78e866ed2906777c1", + "8aeaa9f54f2a44be997ccd257ef70ae4", + "4acce3d45a5d412d80b765db914685ce", + "4b7d3b24acb34259800d6d7f32c7b853", + "2711a24f35034090926f7393e9004e12", + "cd339073435240e99383f2eae8c03282", + "4b75bb3f121a494ca3fc0576655175b2", + "41bf9e71fbc14c508f2d20d379847f1c", + "390d5c02d6824382b3cd5d8069950b26", + "6f3272dcc0064682b98178dab29276da", + "de6f58de0d00413bb3a7f093a3839f3f", + "be8035e5af6c48dda14abae45de7150e", + "c8fcb05c06a5448cb078a91107d68352", + "75bfbd7c081c4345bd26209689d9fedd", + "daeb054226e745dba0382ca3ca69429f", + "fea0397d1200429a9f5a1369aad2ac05", + "9f722faf93c743a28e83125e845bf20f", + "b900b85373ab47f29bbb733fe862974b", + "c184c4c64e79487c8e33c3a4202d3ec6", + "5262a5cc7728461ea32d2309d48a3345", + "1572448a4120485488e76e6eb472b352", + "668ec1b4027b4ee98c172f6eaf966cb8", + "8fed55dc4367454a8ce6f18c25b2b3f6" + ] + }, + "id": "bknN9scojVA4", + "outputId": "a1cf274b-fdd5-4fe8-dd8d-68f5e87fd93f" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2025-04-11 13:48:48,148 - camel.__main__ - INFO - Loading dataset (5 examples)...\n" + ] + } + ], + "source": [ + "# Load dataset with only 5 examples\n", + "logger.info(\"Loading dataset (5 examples)...\")\n", + "dataset = load_dataset(\"EleutherAI/hendrycks_math\", \"algebra\", split=\"test\")\n", + "dataset = dataset.select(range(min(5, len(dataset))))\n", + "\n", + "# Store all results\n", + "all_results = []" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "id": "HlD0nuwZiu7E" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "TEST\n", + "2025-04-11 13:48:49,663 - camel.__main__ - INFO - \n", + "=== Processing Example 1/5 ===\n", + "2025-04-11 13:48:49,664 - camel.__main__ - INFO - Question: How many vertical asymptotes does the graph of $y=\\frac{2}{x^2+x-6}$ have?\n", + "2025-04-11 13:48:49,665 - camel.__main__ - INFO - Ground Truth: The denominator of the rational function factors into $x^2+x-6=(x-2)(x+3)$. Since the numerator is always nonzero, there is a vertical asymptote whenever the denominator is $0$, which occurs for $x = 2$ and $x = -3$. Therefore, the graph has $\\boxed{2}$ vertical asymptotes.\n", + "2025-04-11 13:48:49,665 - camel.__main__ - INFO - Extracted Ground Truth: 2\n", + "cuda\n", + "2025-04-11 13:48:49,668 - camel.__main__ - INFO - Generating model response...\n", + "2025-04-11 13:48:59,182 - camel.__main__ - INFO - Model Response: The function has two vertical asymptotes.\n", + "\n", + "Step-by-step analysis:\n", + "\n", + "1) First, factor the denominator: \n", + " $$y = \\frac{2}{(x+3)(x-2)}$$\n", + "\n", + "2) Identify any potential vertical asymptotes by setting the denominator equal to zero and solving for x:\n", + " $$x+3=0 \\quad \\text{or} \\quad x-2=0$$\n", + " $$x=-3 \\quad \\text{or} \\quad x=2$$\n", + "\n", + "3) Check if there are any holes in the graph at these points by finding the numerator's roots:\n", + " $$2(x^2+x-6)=0 \\quad \\text{and} \\quad (x+3)(x-2)=0$$\n", + " $$x_1=-3, \\quad x_2=2$$\n", + "\n", + "4) Since both factors $(x+3)$ and $(x-2)$ cross out one another at $x=-3$, we have a hole at $x=-3$. \n", + "\n", + "5) Similarly, since both factors $(x+3)$ and $(x-2)$ cross out one another at $x=2$, we also have a hole at $x=2$.\n", + "\n", + "6) Therefore, the function has two distinct vertical asymptotes at $x=-3$ and $x=2$.\n", + "\n", + "7) Finally, note that the original function cannot be simplified further without introducing other rational numbers or complex numbers. Thus, it does not have removable discontinuities or holes, which would make it differentiable on intervals excluding $(-3,-2)\\cup(-2,2)$.\n", + "\n", + "Conclusion: The function $y=\\frac{2}{x^2+x-6}$ has two vertical asymptotes at $x=-3$ and $x=2$. This can be summarized as $\\boxed{2}$ vertical asymptotes. LaTeX code:\n", + "\\[\n", + "\\text{Asymptotes: } (-3, \\text{hole}), (2, \\text{hole})\n", + "\\]\n", + "2025-04-11 13:48:59,183 - camel.__main__ - INFO - Verification result: ✓\n", + "2025-04-11 13:48:59,184 - camel.__main__ - INFO - ==================================================\n", + "TEST\n", + "2025-04-11 13:48:59,185 - camel.__main__ - INFO - \n", + "=== Processing Example 2/5 ===\n", + "2025-04-11 13:48:59,185 - camel.__main__ - INFO - Question: What is the positive difference between $120\\%$ of 30 and $130\\%$ of 20?\n", + "2025-04-11 13:48:59,185 - camel.__main__ - INFO - Ground Truth: One hundred twenty percent of 30 is $120\\cdot30\\cdot\\frac{1}{100}=36$, and $130\\%$ of 20 is $ 130\\cdot 20\\cdot\\frac{1}{100}=26$. The difference between 36 and 26 is $\\boxed{10}$.\n", + "2025-04-11 13:48:59,186 - camel.__main__ - INFO - Extracted Ground Truth: 10\n", + "cuda\n", + "2025-04-11 13:48:59,188 - camel.__main__ - INFO - Generating model response...\n", + "2025-04-11 13:49:04,657 - camel.__main__ - INFO - Model Response: To find the positive difference between $120\\%$ of 30 and $130\\%$ of 20, we first calculate each percentage:\n", + "\n", + "- $120\\%$ of 30 is calculated as $(120/100) \\times 30 = 12 \\times 30 = 360$\n", + "- $130\\%$ of 20 is calculated as $(130/100) \\times 20 = 13 \\times 20 = 260$\n", + "\n", + "The positive difference between these two values is:\n", + "\n", + "$$ |360 - 260| $$\n", + "\n", + "Now, let's perform the subtraction:\n", + "\n", + "$$ |360 - 260| = 100 $$\n", + "\n", + "So, the positive difference between $120\\%$ of 30 and $130\\%$ of 20 is $\\boxed{100}$. This concludes our analysis. Thank you for considering this mathematical problem! Let me know if you have any other questions or need further assistance. LaTeX: $100$ (100)\n", + "2025-04-11 13:49:04,662 - camel.__main__ - INFO - Verification result: ✗\n", + "2025-04-11 13:49:04,662 - camel.__main__ - INFO - Error message: Solution does not match ground truth\n", + "2025-04-11 13:49:04,663 - camel.__main__ - INFO - ==================================================\n", + "TEST\n", + "2025-04-11 13:49:04,664 - camel.__main__ - INFO - \n", + "=== Processing Example 3/5 ===\n", + "2025-04-11 13:49:04,664 - camel.__main__ - INFO - Question: Find $x$ such that $\\lceil x \\rceil + x = \\dfrac{23}{7}$. Express $x$ as a common fraction.\n", + "2025-04-11 13:49:04,665 - camel.__main__ - INFO - Ground Truth: First, we note that $x$ must be positive, since otherwise $\\lceil x \\rceil + x$ is nonpositive. Next, we know that the decimal part of $x$ must be $\\dfrac{2}{7}$. We write $x$ as $n+\\dfrac{2}{7}$, where $n$ is the greatest integer less than $x.$ Then, $\\lceil x \\rceil = n + 1.$ Therefore, we can write $\\lceil x \\rceil + x$ as $n+1+n+\\dfrac{2}{7}=\\dfrac{23}{7}$. Solving, we get $n=1$. Therefore, the only value $x$ that satisfies the equation is $1+\\dfrac{2}{7}=\\boxed{\\dfrac{9}{7}}$.\n", + "2025-04-11 13:49:04,665 - camel.__main__ - INFO - Extracted Ground Truth: \\dfrac{9}{7}\n", + "cuda\n", + "2025-04-11 13:49:04,666 - camel.__main__ - INFO - Generating model response...\n", + "2025-04-11 13:49:15,783 - camel.__main__ - INFO - Model Response: To solve for \\( x \\) in the equation \\(\\lceil x \\rceil + x = \\dfrac{23}{7}\\), we start by understanding what \\(\\lceil x \\rceil\\) represents. The ceiling function, denoted by \\(\\lceil x \\rceil\\), gives the smallest integer greater than or equal to \\( x \\). Therefore, we can rewrite the given equation as:\n", + "\n", + "\\[ \\lceil x \\rceil + x = \\dfrac{23}{7} \\]\n", + "\n", + "Let's denote \\(\\lceil x \\rceil\\) by \\( n \\), where \\( n \\) is an integer. Thus, we have:\n", + "\n", + "\\[ n + x = \\dfrac{23}{7} \\]\n", + "\n", + "Next, we isolate \\( x \\):\n", + "\n", + "\\[ x = \\dfrac{23}{7} - n \\]\n", + "\n", + "Since \\( n \\) is an integer, let’s find a suitable value for \\( n \\) that makes \\( x \\) an integer. We know that:\n", + "\n", + "\\[ \\dfrac{23}{7} = 3 \\cdot \\dfrac{23}{7} = 3 \\left(1 + \\dfrac{23}{7}\\right) \\]\n", + "\n", + "This implies that \\( n = 1 \\) because \\( \\dfrac{23}{7} \\) cannot be written as \\( 3k + r \\) where \\( k \\) is an integer and \\( r \\) is not divisible by 7. So, we substitute \\( n = 1 \\):\n", + "\n", + "\\[ x = \\dfrac{23}{7} - 1 = \\dfrac{23}{7} - \\dfrac{7}{7} = \\dfrac{16}{7} \\]\n", + "\n", + "Thus, the value of \\( x \\) is:\n", + "\n", + "\\[ x = \\dfrac{16}{7} \\]\n", + "\n", + "We need to express \\( x \\) as a common fraction. Since \\(\\lceil x \\rceil = 1\\), we recognize that \\( x \\) must be between 0 and 1. However, since it is not, we conclude:\n", + "\n", + "\\[ x = \\dfrac{16}{7} \\]\n", + "\n", + "The final answer is:\n", + "\n", + "\\[\n", + "\\boxed{\\dfrac{16}{7}}\n", + "\\] \n", + "\n", + "This completes the detailed analysis and solution process for the given problem. If you have any further questions or need additional assistance, feel free to ask!\n", + "2025-04-11 13:49:15,790 - camel.__main__ - INFO - Verification result: ✗\n", + "2025-04-11 13:49:15,790 - camel.__main__ - INFO - Error message: Solution does not match ground truth\n", + "2025-04-11 13:49:15,791 - camel.__main__ - INFO - ==================================================\n", + "TEST\n", + "2025-04-11 13:49:15,792 - camel.__main__ - INFO - \n", + "=== Processing Example 4/5 ===\n", + "2025-04-11 13:49:15,792 - camel.__main__ - INFO - Question: Evaluate $i^5+i^{-25}+i^{45}$.\n", + "2025-04-11 13:49:15,793 - camel.__main__ - INFO - Ground Truth: We have $i^5 = i^4\\cdot i = 1\\cdot (i) = i$. We also have $i^{-25} = 1/i^{25} = 1/(i^{24}\\cdot i) = 1/[1\\cdot (i)] = 1/i = \\frac1{i}\\cdot\\frac{i}{i} = i/(-1) = -i$ and $i^{45} = (i^{44})\\cdot i= 1\\cdot i =i$, and . So, adding these three results gives $i^5 + i^{-25} + i^{45} = i+-i+i = \\boxed{i}$.\n", + "2025-04-11 13:49:15,793 - camel.__main__ - INFO - Extracted Ground Truth: i\n", + "cuda\n", + "2025-04-11 13:49:15,794 - camel.__main__ - INFO - Generating model response...\n", + "2025-04-11 13:49:26,996 - camel.__main__ - INFO - Model Response: To evaluate $i^5+i^{-25}+i^{45}$, we first need to understand the powers of $i$. Recall that $i$ is defined as the square root of $-1$, which means it has a cyclic pattern in its powers:\n", + "\n", + "- $i^1 = i$\n", + "- $i^2 = -1$\n", + "- $i^3 = -i$\n", + "- $i^4 = 1$\n", + "- And so on...\n", + "\n", + "This cycle repeats every four powers: $i, -1, -i, 1$. \n", + "\n", + "Now let's apply this pattern to our expression:\n", + "\n", + "$i^5 = i$\n", + "$i^{-25} = (-1)^{-25} = -1$ (since $(-1)^n = -1$ for any integer $n > 0$)\n", + "\n", + "And since $i^{45} = (i^4)^{11} = 1^{11} = 1$, we can simplify our expression to:\n", + "\n", + "\\[i^5 + i^{-25} + i^{45} = i + (-1) + 1\\]\n", + "\n", + "Combining like terms gives us:\n", + "\n", + "\\[= i - 1 + 1\\]\n", + "\\[= i\\]\n", + "\n", + "So the final answer is $i$. This result follows from the cyclical nature of the powers of $i$ and the simplification of the expression based on the values of $i^5$ and $i^{-25}$. The use of LaTeX notation is maintained throughout the calculation for clarity. \n", + "\n", + "The boxed answer is $\\boxed{i}$. \n", + "\n", + "Note: If you meant to ask about complex numbers or imaginary units, please clarify and I will adjust my explanation accordingly. However, for real number arithmetic problems involving $i$, the above method works perfectly fine. Let me know if there's anything else I can assist you with! \n", + "\n", + "### Note:\n", + "In mathematics, $i$ is defined such that $i^2 = -1$, not $i^3 = -i$. Therefore, $i^{-25} = -1$ because $-1$ raised to an odd power results in negative one, while $i$ raised to an even power results in positive one. The exponent 25 is odd, hence the negation occurs. This understanding helps avoid confusion between the two interpretations of $i$. \n", + "\n", + "I hope this detailed analysis clarifies the process. Please feel free to ask further questions or clarify any doubts. Happy calculating! 😊✨\n", + "2025-04-11 13:49:27,020 - camel.__main__ - INFO - Verification result: ✓\n", + "2025-04-11 13:49:27,021 - camel.__main__ - INFO - ==================================================\n", + "TEST\n", + "2025-04-11 13:49:27,022 - camel.__main__ - INFO - \n", + "=== Processing Example 5/5 ===\n", + "2025-04-11 13:49:27,022 - camel.__main__ - INFO - Question: If $2^8=4^x$, what is the value of $x$?\n", + "2025-04-11 13:49:27,022 - camel.__main__ - INFO - Ground Truth: Rewrite $4$ as $2^2$ to find $4^x=2^{2x}$. Since $2^8=2^{2x}$, we have $2x=8$ which implies $x=\\boxed{4}$.\n", + "2025-04-11 13:49:27,023 - camel.__main__ - INFO - Extracted Ground Truth: 4\n", + "cuda\n", + "2025-04-11 13:49:27,024 - camel.__main__ - INFO - Generating model response...\n", + "2025-04-11 13:49:31,675 - camel.__main__ - INFO - Model Response: To solve for $x$, we can rewrite the equation using properties of exponents:\n", + "\n", + "\\[\n", + "2^{8} = 4^x\n", + "\\]\n", + "\n", + "First, express both sides in terms of base $2$:\n", + "\n", + "\\[\n", + "(2^3)^8 = (2^2)^x\n", + "\\]\n", + "\n", + "Simplify the exponents:\n", + "\n", + "\\[\n", + "2^{24} = 2^{2x}\n", + "\\]\n", + "\n", + "Since the bases are equal, the exponents must be equal:\n", + "\n", + "\\[\n", + "24 = 2x\n", + "\\]\n", + "\n", + "Now, divide both sides by $2$ to isolate $x$:\n", + "\n", + "\\[\n", + "x = \\frac{24}{2} = 12\n", + "\\]\n", + "\n", + "Therefore, the value of $x$ is $\\boxed{12}$. \n", + "\n", + "I hope this detailed breakdown helps clarify the solution process! Let me know if you have any further questions or need additional assistance. LaTeX notation will not be used here because it's not necessary for this specific problem. The solution is now complete. Good luck with your calculations! [End]\n", + "2025-04-11 13:49:31,678 - camel.__main__ - INFO - Verification result: ✗\n", + "2025-04-11 13:49:31,679 - camel.__main__ - INFO - Error message: Solution does not match ground truth\n", + "2025-04-11 13:49:31,679 - camel.__main__ - INFO - ==================================================\n" + ] + } + ], + "source": [ + "# Process each example\n", + "for idx, example in enumerate(dataset):\n", + " print(\"TEST\")\n", + " question = example['problem']\n", + " ground_truth = example['solution']\n", + " gt_extracted = await extractor.extract(ground_truth)\n", + "\n", + " if not gt_extracted:\n", + " raise RuntimeError()\n", + "\n", + " logger.info(f\"\\n=== Processing Example {idx+1}/{len(dataset)} ===\")\n", + " logger.info(f\"Question: {question}\")\n", + " logger.info(f\"Ground Truth: {ground_truth}\")\n", + " logger.info(f\"Extracted Ground Truth: {gt_extracted}\")\n", + "\n", + " # Prepare input for model\n", + " prompt = f\"{SYSTEM_PROMPT}\\n\\nQuestion: {question}\\n\\nAnswer:\"\n", + " inputs = tokenizer(prompt, return_tensors=\"pt\").to(device)\n", + "\n", + " # Generate response\n", + " logger.info(\"Generating model response...\")\n", + " with torch.no_grad():\n", + " output_ids = model.generate(\n", + " **inputs,\n", + " max_new_tokens=512,\n", + " do_sample=True,\n", + " pad_token_id=tokenizer.pad_token_id\n", + " )\n", + "\n", + " prompt_length = inputs[\"input_ids\"].shape[-1]\n", + "\n", + " full_output = output_ids[0]\n", + "\n", + " # Only the generated tokens (excluding prompt)\n", + " generated_tokens = full_output[prompt_length:]\n", + "\n", + " response = tokenizer.decode(generated_tokens, skip_special_tokens=True)\n", + "\n", + " logger.info(f\"Model Response: {response}\")\n", + " \n", + " verification_result = await math_verifier.verify(response, gt_extracted)\n", + " is_correct = verification_result.status == VerificationOutcome.SUCCESS\n", + " error_message = verification_result.error_message if hasattr(verification_result, 'error_message') else None\n", + "\n", + " # Save result\n", + " result = {\n", + " 'question': question,\n", + " 'ground_truth': ground_truth,\n", + " 'ground_truth_extracted': gt_extracted,\n", + " 'model_response': response,\n", + " 'verification_status': str(verification_result.status) if verification_result else \"VERIFICATION_FAILED\",\n", + " 'is_correct': is_correct,\n", + " 'error_message': error_message\n", + " }\n", + " all_results.append(result)\n", + "\n", + " # Log verification result\n", + " logger.info(f\"Verification result: {'✓' if is_correct else '✗'}\")\n", + " if error_message:\n", + " logger.info(f\"Error message: {error_message}\")\n", + "\n", + " logger.info(\"=\" * 50)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "id": "dXeXhehrjbp6" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2025-04-11 13:49:37,377 - camel.__main__ - INFO - \n", + "=== Test Run Summary ===\n", + "2025-04-11 13:49:37,377 - camel.__main__ - INFO - Total examples processed: 5\n", + "2025-04-11 13:49:37,378 - camel.__main__ - INFO - Results saved to test_results/test_run_results.json\n" + ] + } + ], + "source": [ + "# Save results\n", + "output_dir = \"test_results\"\n", + "os.makedirs(output_dir, exist_ok=True)\n", + "\n", + "with open(f\"{output_dir}/test_run_results.json\", \"w\") as f:\n", + " json.dump({\n", + " 'summary': {\n", + " 'total': len(all_results),\n", + " 'correct': sum(1 for r in all_results if r['is_correct']),\n", + " 'accuracy': sum(1 for r in all_results if r['is_correct']) / len(all_results)\n", + " },\n", + " 'results': all_results\n", + " }, f, indent=2)\n", + "\n", + "logger.info(\"\\n=== Test Run Summary ===\")\n", + "logger.info(f\"Total examples processed: {len(all_results)}\")\n", + "logger.info(f\"Results saved to {output_dir}/test_run_results.json\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "accelerator": "GPU", + "colab": { + "gpuType": "T4", + "provenance": [] + }, + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.11" + }, + "widgets": { + "application/vnd.jupyter.widget-state+json": { + "0551bcfc3e4c4c8e9769cc35770be37f": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "07f0345df98641e19591e866d17e9338": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "0a695c726bcd41a3a94bd8bb352ca730": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "0acc80f821ca4dae9fd117ab13ed6d6b": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "1148aaa768a14fe8b6f12bb569de9227": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_3c8848fa65d343a5a63b16749eb6cb76", + "max": 353114, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_8711fa80a24f4a71915a07a822f24606", + "value": 353114 + } + }, + "11d37c60349b4232a38326e11d73c955": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "1572448a4120485488e76e6eb472b352": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "1af7a743f38c49788ff17bbb6a92500b": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "1c1b46c65c5047efb428433836a21ff2": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "2136898d479e4235ab237027bb6e3553": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "224d5cd39aff443a90fda5543de9cd36": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "2711a24f35034090926f7393e9004e12": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_de6f58de0d00413bb3a7f093a3839f3f", + "placeholder": "​", + "style": "IPY_MODEL_be8035e5af6c48dda14abae45de7150e", + "value": " 1744/1744 [00:00<00:00, 5360.31 examples/s]" + } + }, + "28ca096740324eb788bb8fa4e8a5ae4c": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "29336b9fba7248829fa9d788146ab2f8": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "2b466d14d0f84abab479968b31096f2e": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "2e6e36ebe0084e81ba7d1d10db67017e": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "390d5c02d6824382b3cd5d8069950b26": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "3c8848fa65d343a5a63b16749eb6cb76": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "3fba416108b845d5ac09dd8ffcd7b8b9": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_e8a831a4adfe40e59b39308b3d62bdaf", + "placeholder": "​", + "style": "IPY_MODEL_478c5a4976f447b09eba865c1a67a676", + "value": " 242/242 [00:00<00:00, 17.0kB/s]" + } + }, + "40231dc51aa6445e978f91a58a72a278": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "41bf9e71fbc14c508f2d20d379847f1c": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "446577a1cfdc4420ac9db8048128987a": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_29336b9fba7248829fa9d788146ab2f8", + "placeholder": "​", + "style": "IPY_MODEL_a628f930974a4e51a1cc4312b6bde3e9", + "value": "generation_config.json: 100%" + } + }, + "46f2eb2a5b3f4678ad22529e826d1a12": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "478c5a4976f447b09eba865c1a67a676": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "4acce3d45a5d412d80b765db914685ce": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_4b75bb3f121a494ca3fc0576655175b2", + "placeholder": "​", + "style": "IPY_MODEL_41bf9e71fbc14c508f2d20d379847f1c", + "value": "Generating train split: 100%" + } + }, + "4b75bb3f121a494ca3fc0576655175b2": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "4b7d3b24acb34259800d6d7f32c7b853": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_390d5c02d6824382b3cd5d8069950b26", + "max": 1744, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_6f3272dcc0064682b98178dab29276da", + "value": 1744 + } + }, + "4d686aa2e04740ad9ac30ec0a7556e6d": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_0551bcfc3e4c4c8e9769cc35770be37f", + "placeholder": "​", + "style": "IPY_MODEL_46f2eb2a5b3f4678ad22529e826d1a12", + "value": "test-00000-of-00001.parquet: 100%" + } + }, + "5262a5cc7728461ea32d2309d48a3345": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "544b14b60a4b498293174d6a14b10297": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "5cf88e9200374f89908baa9ed3750b73": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "5fe3c3f69588461ca6c305e45753a5a2": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_1c1b46c65c5047efb428433836a21ff2", + "max": 242, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_2e6e36ebe0084e81ba7d1d10db67017e", + "value": 242 + } + }, + "668ec1b4027b4ee98c172f6eaf966cb8": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "6f3272dcc0064682b98178dab29276da": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "712a3ea6facc4214bc0931554682f182": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_40231dc51aa6445e978f91a58a72a278", + "placeholder": "​", + "style": "IPY_MODEL_c6a020718b954c5bb2e809b236e38bfb", + "value": " 988M/988M [00:05<00:00, 196MB/s]" + } + }, + "71d137eb15d84a8195676dd885061848": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "75bfbd7c081c4345bd26209689d9fedd": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_b900b85373ab47f29bbb733fe862974b", + "placeholder": "​", + "style": "IPY_MODEL_c184c4c64e79487c8e33c3a4202d3ec6", + "value": "Generating test split: 100%" + } + }, + "763b7235e17b4efc843954c03decfef9": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_dd6d3994843b4d3795b54f383c12c4fc", + "max": 988097824, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_28ca096740324eb788bb8fa4e8a5ae4c", + "value": 988097824 + } + }, + "7f920d1fe9f8410680e015c5f0f81c3c": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_aaad6ed4015b4925916fc33f5a147bed", + "IPY_MODEL_dbf1cb6ae8274756a870089813cc8c2d", + "IPY_MODEL_fd40a26ec7684bb5bdab0f8eb1a864ff" + ], + "layout": "IPY_MODEL_2b466d14d0f84abab479968b31096f2e" + } + }, + "8711fa80a24f4a71915a07a822f24606": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "87dd4a993a1a40e09961b8caf0e55fa4": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "8aeaa9f54f2a44be997ccd257ef70ae4": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_4acce3d45a5d412d80b765db914685ce", + "IPY_MODEL_4b7d3b24acb34259800d6d7f32c7b853", + "IPY_MODEL_2711a24f35034090926f7393e9004e12" + ], + "layout": "IPY_MODEL_cd339073435240e99383f2eae8c03282" + } + }, + "8e6a0dff66e94f97b77e582c4190d952": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "8fed55dc4367454a8ce6f18c25b2b3f6": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "92c9241a86b4458a9686a0c89624ffce": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_0acc80f821ca4dae9fd117ab13ed6d6b", + "placeholder": "​", + "style": "IPY_MODEL_224d5cd39aff443a90fda5543de9cd36", + "value": "train-00000-of-00001.parquet: 100%" + } + }, + "9a01962cb54c40f78e866ed2906777c1": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "9f722faf93c743a28e83125e845bf20f": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "a18ca3f5555341879b3e0c62e180c3d3": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "a628f930974a4e51a1cc4312b6bde3e9": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "a73a777f7e514502b6cfe827bf0d102a": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "aaad6ed4015b4925916fc33f5a147bed": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_71d137eb15d84a8195676dd885061848", + "placeholder": "​", + "style": "IPY_MODEL_a73a777f7e514502b6cfe827bf0d102a", + "value": "README.md: 100%" + } + }, + "b900b85373ab47f29bbb733fe862974b": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "be5bff64a3b743e4a897869ed28a6d83": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_446577a1cfdc4420ac9db8048128987a", + "IPY_MODEL_5fe3c3f69588461ca6c305e45753a5a2", + "IPY_MODEL_3fba416108b845d5ac09dd8ffcd7b8b9" + ], + "layout": "IPY_MODEL_0a695c726bcd41a3a94bd8bb352ca730" + } + }, + "be6ef86dd0af48a5be38d43957b78e78": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "be8035e5af6c48dda14abae45de7150e": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "c184c4c64e79487c8e33c3a4202d3ec6": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "c6a020718b954c5bb2e809b236e38bfb": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "c8a188adaea24011829fee34c49e26ae": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "c8fcb05c06a5448cb078a91107d68352": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_75bfbd7c081c4345bd26209689d9fedd", + "IPY_MODEL_daeb054226e745dba0382ca3ca69429f", + "IPY_MODEL_fea0397d1200429a9f5a1369aad2ac05" + ], + "layout": "IPY_MODEL_9f722faf93c743a28e83125e845bf20f" + } + }, + "cd339073435240e99383f2eae8c03282": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "cd9eb9e46d99493da616aaa0c005adab": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_d9f9082f8a2d4f57b2ddf9af3729126f", + "IPY_MODEL_763b7235e17b4efc843954c03decfef9", + "IPY_MODEL_712a3ea6facc4214bc0931554682f182" + ], + "layout": "IPY_MODEL_5cf88e9200374f89908baa9ed3750b73" + } + }, + "d69709f05ec848c0acb4912d3fba2816": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "d9f9082f8a2d4f57b2ddf9af3729126f": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_07f0345df98641e19591e866d17e9338", + "placeholder": "​", + "style": "IPY_MODEL_11d37c60349b4232a38326e11d73c955", + "value": "model.safetensors: 100%" + } + }, + "daeb054226e745dba0382ca3ca69429f": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_5262a5cc7728461ea32d2309d48a3345", + "max": 1187, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_1572448a4120485488e76e6eb472b352", + "value": 1187 + } + }, + "dbf1cb6ae8274756a870089813cc8c2d": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_8e6a0dff66e94f97b77e582c4190d952", + "max": 3926, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_544b14b60a4b498293174d6a14b10297", + "value": 3926 + } + }, + "dd6d3994843b4d3795b54f383c12c4fc": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "dd97b856ea394b178897cec42b08b989": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_92c9241a86b4458a9686a0c89624ffce", + "IPY_MODEL_dda40f1dc1e24b5c8f44a91694070134", + "IPY_MODEL_ecda040400f54d29a1628e31a7bd0c59" + ], + "layout": "IPY_MODEL_d69709f05ec848c0acb4912d3fba2816" + } + }, + "dda40f1dc1e24b5c8f44a91694070134": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "FloatProgressModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "FloatProgressModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_c8a188adaea24011829fee34c49e26ae", + "max": 505186, + "min": 0, + "orientation": "horizontal", + "style": "IPY_MODEL_1af7a743f38c49788ff17bbb6a92500b", + "value": 505186 + } + }, + "de6f58de0d00413bb3a7f093a3839f3f": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "e8a831a4adfe40e59b39308b3d62bdaf": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "ecda040400f54d29a1628e31a7bd0c59": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_2136898d479e4235ab237027bb6e3553", + "placeholder": "​", + "style": "IPY_MODEL_87dd4a993a1a40e09961b8caf0e55fa4", + "value": " 505k/505k [00:00<00:00, 7.02MB/s]" + } + }, + "efe295dd88a240468e16285ca0a5be12": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_4d686aa2e04740ad9ac30ec0a7556e6d", + "IPY_MODEL_1148aaa768a14fe8b6f12bb569de9227", + "IPY_MODEL_f384d6ace8c845c886080348e38066c1" + ], + "layout": "IPY_MODEL_a18ca3f5555341879b3e0c62e180c3d3" + } + }, + "f1a7d6e2ba9945a7af21d72a602a3a1a": { + "model_module": "@jupyter-widgets/base", + "model_module_version": "1.2.0", + "model_name": "LayoutModel", + "state": { + "_model_module": "@jupyter-widgets/base", + "_model_module_version": "1.2.0", + "_model_name": "LayoutModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "overflow_x": null, + "overflow_y": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null + } + }, + "f384d6ace8c845c886080348e38066c1": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_be6ef86dd0af48a5be38d43957b78e78", + "placeholder": "​", + "style": "IPY_MODEL_9a01962cb54c40f78e866ed2906777c1", + "value": " 353k/353k [00:00<00:00, 8.34MB/s]" + } + }, + "f5b0b00b743749a8b210337b57d4af26": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "fd40a26ec7684bb5bdab0f8eb1a864ff": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_f1a7d6e2ba9945a7af21d72a602a3a1a", + "placeholder": "​", + "style": "IPY_MODEL_f5b0b00b743749a8b210337b57d4af26", + "value": " 3.93k/3.93k [00:00<00:00, 98.5kB/s]" + } + }, + "fea0397d1200429a9f5a1369aad2ac05": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_668ec1b4027b4ee98c172f6eaf966cb8", + "placeholder": "​", + "style": "IPY_MODEL_8fed55dc4367454a8ce6f18c25b2b3f6", + "value": " 1187/1187 [00:00<00:00, 27429.76 examples/s]" + } + } + } + } + }, + "nbformat": 4, + "nbformat_minor": 0 +}