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finewebs-scandeval-results

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stefan-it commited on
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metrics: add final results

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Files changed (1) hide show
  1. ShowResults.ipynb +20 -5
ShowResults.ipynb CHANGED
@@ -25,20 +25,25 @@
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  "name": "stdout",
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  "output_type": "stream",
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  "text": [
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- "[PosixPath('electra-base/scandeval_benchmark_results.jsonl'), PosixPath('roberta-base/scandeval_benchmark_results.jsonl'), PosixPath('bert-base-token-dropping-finewebs-1m/scandeval_benchmark_results.jsonl'), PosixPath('bert-base-token-dropping-finewebs-801k/scandeval_benchmark_results.jsonl'), PosixPath('bert-base-token-dropping-finewebs-851k/scandeval_benchmark_results.jsonl'), PosixPath('bert-base-finewebs-851k/scandeval_benchmark_results.jsonl'), PosixPath('bert-base-finewebs-801k/scandeval_benchmark_results.jsonl'), PosixPath('bert-base-finewebs-901k/scandeval_benchmark_results.jsonl'), PosixPath('bert-base-cased/scandeval_benchmark_results.jsonl'), PosixPath('bert-base-token-dropping-finewebs-901k/scandeval_benchmark_results.jsonl'), PosixPath('bert-base-finewebs-1m/scandeval_benchmark_results.jsonl'), PosixPath('bert-base-finewebs-951k/scandeval_benchmark_results.jsonl'), PosixPath('bert-base-token-dropping-finewebs-951k/scandeval_benchmark_results.jsonl')]\n",
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  "google/electra-base-discriminator\n",
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  "FacebookAI/roberta-base\n",
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  "model-garden-lms/bert-base-token-dropping-finewebs-1m\n",
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  "model-garden-lms/bert-base-token-dropping-finewebs-801k\n",
 
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  "model-garden-lms/bert-base-token-dropping-finewebs-851k\n",
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  "model-garden-lms/bert-base-finewebs-851k\n",
 
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  "model-garden-lms/bert-base-finewebs-801k\n",
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  "model-garden-lms/bert-base-finewebs-901k\n",
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  "google-bert/bert-base-cased\n",
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  "model-garden-lms/bert-base-token-dropping-finewebs-901k\n",
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  "model-garden-lms/bert-base-finewebs-1m\n",
 
 
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  "model-garden-lms/bert-base-finewebs-951k\n",
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- "model-garden-lms/bert-base-token-dropping-finewebs-951k\n"
 
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  ]
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  }
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  ],
@@ -120,7 +125,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 8,
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  "id": "730ef788-95d6-4149-960b-6f2ca9311ea5",
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  "metadata": {},
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  "outputs": [],
@@ -136,6 +141,11 @@
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  " \"model-garden-lms/bert-base-token-dropping-finewebs-901k\",\n",
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  " \"model-garden-lms/bert-base-token-dropping-finewebs-851k\",\n",
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  " \"model-garden-lms/bert-base-token-dropping-finewebs-801k\",\n",
 
 
 
 
 
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  " \"google-bert/bert-base-cased\",\n",
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  " \"google/electra-base-discriminator\",\n",
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  " \"FacebookAI/roberta-base\",\n",
@@ -146,7 +156,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 9,
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  "id": "af8ee3a3-7798-4bed-8b45-c5e7ba89d9ac",
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  "metadata": {},
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  "outputs": [],
@@ -169,7 +179,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 10,
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  "id": "24cafd52-5e5f-44b9-8a9d-1ce04991473f",
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  "metadata": {},
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  "outputs": [
@@ -189,6 +199,11 @@
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  "| [model-garden-lms/bert-base-token-dropping-finewebs-901k](https://huggingface.co/model-garden-lms/bert-base-token-dropping-finewebs-901k) | 68.01 | 88.98 ± 0.64 / 88.67 ± 0.55 | 57.79 ± 1.31 / 58.91 ± 1.85 | 54.25 ± 6.3 / 75.73 ± 3.54 | 54.4 ± 0.72 / 65.31 ± 1.01 |\n",
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  "| [model-garden-lms/bert-base-token-dropping-finewebs-851k](https://huggingface.co/model-garden-lms/bert-base-token-dropping-finewebs-851k) | 67.97 | 88.9 ± 0.7 / 88.81 ± 0.54 | 58.0 ± 1.02 / 58.73 ± 1.8 | 54.04 ± 2.61 / 74.89 ± 2.07 | 54.75 ± 1.08 / 65.66 ± 1.26 |\n",
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  "| [model-garden-lms/bert-base-token-dropping-finewebs-801k](https://huggingface.co/model-garden-lms/bert-base-token-dropping-finewebs-801k) | 67.8 | 88.95 ± 0.7 / 88.73 ± 0.58 | 57.71 ± 1.43 / 60.5 ± 1.69 | 50.95 ± 6.3 / 74.16 ± 3.2 | 55.24 ± 1.37 / 66.13 ± 1.24 |\n",
 
 
 
 
 
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  "| [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) | 62.26 | 87.39 ± 0.79 / 87.11 ± 0.66 | 54.49 ± 1.36 / 53.22 ± 1.15 | 52.08 ± 2.13 / 74.52 ± 1.31 | 38.63 ± 2.1 / 50.68 ± 1.87 |\n",
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  "| [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) | 69.26 | 87.82 ± 0.69 / 86.83 ± 0.62 | 62.3 ± 1.12 / 55.93 ± 0.67 | 62.61 ± 1.21 / 80.85 ± 0.59 | 52.51 ± 0.86 / 65.2 ± 0.85 |\n",
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  "| [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) | 68.96 | 90.35 ± 0.23 / 90.14 ± 0.2 | 60.95 ± 1.4 / 57.52 ± 1.97 | 50.64 ± 1.69 / 74.55 ± 0.9 | 57.82 ± 1.35 / 69.68 ± 1.02 |\n"
 
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  "name": "stdout",
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  "output_type": "stream",
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  "text": [
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+ "[PosixPath('electra-base/scandeval_benchmark_results.jsonl'), PosixPath('roberta-base/scandeval_benchmark_results.jsonl'), PosixPath('bert-base-token-dropping-finewebs-1m/scandeval_benchmark_results.jsonl'), PosixPath('bert-base-token-dropping-finewebs-801k/scandeval_benchmark_results.jsonl'), PosixPath('teams-base-finewebs-901k/scandeval_benchmark_results.jsonl'), PosixPath('bert-base-token-dropping-finewebs-851k/scandeval_benchmark_results.jsonl'), PosixPath('bert-base-finewebs-851k/scandeval_benchmark_results.jsonl'), PosixPath('teams-base-finewebs-951k/scandeval_benchmark_results.jsonl'), PosixPath('bert-base-finewebs-801k/scandeval_benchmark_results.jsonl'), PosixPath('bert-base-finewebs-901k/scandeval_benchmark_results.jsonl'), PosixPath('bert-base-cased/scandeval_benchmark_results.jsonl'), PosixPath('bert-base-token-dropping-finewebs-901k/scandeval_benchmark_results.jsonl'), PosixPath('bert-base-finewebs-1m/scandeval_benchmark_results.jsonl'), PosixPath('teams-base-finewebs-851k/scandeval_benchmark_results.jsonl'), PosixPath('teams-base-finewebs-1m/scandeval_benchmark_results.jsonl'), PosixPath('bert-base-finewebs-951k/scandeval_benchmark_results.jsonl'), PosixPath('bert-base-token-dropping-finewebs-951k/scandeval_benchmark_results.jsonl'), PosixPath('teams-base-finewebs-801k/scandeval_benchmark_results.jsonl')]\n",
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  "google/electra-base-discriminator\n",
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  "FacebookAI/roberta-base\n",
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  "model-garden-lms/bert-base-token-dropping-finewebs-1m\n",
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  "model-garden-lms/bert-base-token-dropping-finewebs-801k\n",
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+ "model-garden-lms/teams-base-finewebs-901k\n",
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  "model-garden-lms/bert-base-token-dropping-finewebs-851k\n",
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  "model-garden-lms/bert-base-finewebs-851k\n",
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+ "model-garden-lms/teams-base-finewebs-951k\n",
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  "model-garden-lms/bert-base-finewebs-801k\n",
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  "model-garden-lms/bert-base-finewebs-901k\n",
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  "google-bert/bert-base-cased\n",
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  "model-garden-lms/bert-base-token-dropping-finewebs-901k\n",
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  "model-garden-lms/bert-base-finewebs-1m\n",
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+ "model-garden-lms/teams-base-finewebs-851k\n",
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+ "model-garden-lms/teams-base-finewebs-1m\n",
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  "model-garden-lms/bert-base-finewebs-951k\n",
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+ "model-garden-lms/bert-base-token-dropping-finewebs-951k\n",
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+ "model-garden-lms/teams-base-finewebs-801k\n"
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  ]
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  }
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  ],
 
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  },
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  {
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  "cell_type": "code",
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+ "execution_count": 3,
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  "id": "730ef788-95d6-4149-960b-6f2ca9311ea5",
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  "metadata": {},
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  "outputs": [],
 
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  " \"model-garden-lms/bert-base-token-dropping-finewebs-901k\",\n",
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  " \"model-garden-lms/bert-base-token-dropping-finewebs-851k\",\n",
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  " \"model-garden-lms/bert-base-token-dropping-finewebs-801k\",\n",
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+ " \"model-garden-lms/teams-base-finewebs-1m\",\n",
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+ " \"model-garden-lms/teams-base-finewebs-951k\",\n",
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+ " \"model-garden-lms/teams-base-finewebs-901k\",\n",
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+ " \"model-garden-lms/teams-base-finewebs-851k\",\n",
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+ " \"model-garden-lms/teams-base-finewebs-801k\",\n",
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  " \"google-bert/bert-base-cased\",\n",
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  " \"google/electra-base-discriminator\",\n",
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  " \"FacebookAI/roberta-base\",\n",
 
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  },
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  {
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  "cell_type": "code",
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+ "execution_count": 4,
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  "id": "af8ee3a3-7798-4bed-8b45-c5e7ba89d9ac",
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  "metadata": {},
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  "outputs": [],
 
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  },
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  {
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  "cell_type": "code",
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+ "execution_count": 5,
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  "id": "24cafd52-5e5f-44b9-8a9d-1ce04991473f",
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  "metadata": {},
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  "outputs": [
 
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  "| [model-garden-lms/bert-base-token-dropping-finewebs-901k](https://huggingface.co/model-garden-lms/bert-base-token-dropping-finewebs-901k) | 68.01 | 88.98 ± 0.64 / 88.67 ± 0.55 | 57.79 ± 1.31 / 58.91 ± 1.85 | 54.25 ± 6.3 / 75.73 ± 3.54 | 54.4 ± 0.72 / 65.31 ± 1.01 |\n",
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  "| [model-garden-lms/bert-base-token-dropping-finewebs-851k](https://huggingface.co/model-garden-lms/bert-base-token-dropping-finewebs-851k) | 67.97 | 88.9 ± 0.7 / 88.81 ± 0.54 | 58.0 ± 1.02 / 58.73 ± 1.8 | 54.04 ± 2.61 / 74.89 ± 2.07 | 54.75 ± 1.08 / 65.66 ± 1.26 |\n",
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  "| [model-garden-lms/bert-base-token-dropping-finewebs-801k](https://huggingface.co/model-garden-lms/bert-base-token-dropping-finewebs-801k) | 67.8 | 88.95 ± 0.7 / 88.73 ± 0.58 | 57.71 ± 1.43 / 60.5 ± 1.69 | 50.95 ± 6.3 / 74.16 ± 3.2 | 55.24 ± 1.37 / 66.13 ± 1.24 |\n",
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+ "| [model-garden-lms/teams-base-finewebs-1m](https://huggingface.co/model-garden-lms/teams-base-finewebs-1m) | 72.64 | 89.27 ± 0.41 / 88.82 ± 0.41 | 59.58 ± 0.64 / 62.63 ± 3.0 | 66.72 ± 0.94 / 83.01 ± 0.45 | 59.95 ± 0.71 / 71.13 ± 0.58 |\n",
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+ "| [model-garden-lms/teams-base-finewebs-951k](https://huggingface.co/model-garden-lms/teams-base-finewebs-951k) | 72.06 | 89.64 ± 0.52 / 89.18 ± 0.42 | 60.31 ± 1.03 / 58.82 ± 2.79 | 65.85 ± 2.01 / 82.47 ± 1.23 | 59.36 ± 0.77 / 70.82 ± 0.62 |\n",
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+ "| [model-garden-lms/teams-base-finewebs-901k](https://huggingface.co/model-garden-lms/teams-base-finewebs-901k) | 72.19 | 89.31 ± 0.52 / 88.71 ± 0.53 | 59.86 ± 1.05 / 62.17 ± 2.61 | 64.89 ± 2.86 / 81.84 ± 1.65 | 59.74 ± 0.55 / 71.0 ± 0.5 |\n",
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+ "| [model-garden-lms/teams-base-finewebs-851k](https://huggingface.co/model-garden-lms/teams-base-finewebs-851k) | 71.41 | 89.48 ± 0.47 / 88.99 ± 0.52 | 59.17 ± 1.2 / 60.25 ± 3.25 | 63.01 ± 2.31 / 80.77 ± 1.38 | 59.13 ± 0.53 / 70.5 ± 0.49 |\n",
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+ "| [model-garden-lms/teams-base-finewebs-801k](https://huggingface.co/model-garden-lms/teams-base-finewebs-801k) | 70.73 | 89.2 ± 0.43 / 88.8 ± 0.46 | 59.21 ± 1.5 / 61.41 ± 2.36 | 58.47 ± 4.1 / 78.24 ± 2.4 | 59.59 ± 0.66 / 70.9 ± 0.59 |\n",
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  "| [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) | 62.26 | 87.39 ± 0.79 / 87.11 ± 0.66 | 54.49 ± 1.36 / 53.22 ± 1.15 | 52.08 ± 2.13 / 74.52 ± 1.31 | 38.63 ± 2.1 / 50.68 ± 1.87 |\n",
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  "| [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) | 69.26 | 87.82 ± 0.69 / 86.83 ± 0.62 | 62.3 ± 1.12 / 55.93 ± 0.67 | 62.61 ± 1.21 / 80.85 ± 0.59 | 52.51 ± 0.86 / 65.2 ± 0.85 |\n",
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  "| [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) | 68.96 | 90.35 ± 0.23 / 90.14 ± 0.2 | 60.95 ± 1.4 / 57.52 ± 1.97 | 50.64 ± 1.69 / 74.55 ± 0.9 | 57.82 ± 1.35 / 69.68 ± 1.02 |\n"