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conll-en | named-entity-recognition | [
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sst5 | sentiment-classification | [
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scala-en | linguistic-acceptability | [
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squad | reading-comprehension | [
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conll-en | named-entity-recognition | [
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sst5 | sentiment-classification | [
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scala-en | linguistic-acceptability | [
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squad | reading-comprehension | [
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conll-en | named-entity-recognition | [
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sst5 | sentiment-classification | [
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conll-en | named-entity-recognition | [
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scala-en | linguistic-acceptability | [
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scala-en | linguistic-acceptability | [
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sst5 | sentiment-classification | [
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scala-en | linguistic-acceptability | [
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squad | reading-comprehension | [
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sst5 | sentiment-classification | [
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scala-en | linguistic-acceptability | [
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squad | reading-comprehension | [
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sst5 | sentiment-classification | [
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scala-en | linguistic-acceptability | [
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conll-en | named-entity-recognition | [
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sst5 | sentiment-classification | [
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sst5 | sentiment-classification | [
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sst5 | sentiment-classification | [
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scala-en | linguistic-acceptability | [
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squad | reading-comprehension | [
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} | 135,194,113 | 512 | 64,000 | false | true | false | 13.3.0 |
End of preview. Expand
in Dataset Viewer.
ScandEval Results on English NLU
We use ScandEval in revision 8766d2a to conduct experiments with our pretrained FineWeb LMs.
Additionally, results for BERT, RoBERTa and ELECTRA were also performed to have a nice comparison.
| Model ID | Avg. Score | CoNLL-En | SST5 | ScaLA-En | SQuAD |
|---|---|---|---|---|---|
| model-garden-lms/bert-base-finewebs-1m | 69.03 | 88.98 ± 0.43 / 88.67 ± 0.36 | 58.11 ± 1.2 / 59.77 ± 1.49 | 57.29 ± 3.57 / 77.15 ± 2.17 | 55.82 ± 1.35 / 66.46 ± 1.51 |
| model-garden-lms/bert-base-finewebs-951k | 69.41 | 89.25 ± 0.4 / 88.9 ± 0.37 | 58.17 ± 1.26 / 59.86 ± 1.65 | 58.83 ± 3.46 / 78.22 ± 2.11 | 55.66 ± 1.19 / 66.36 ± 1.42 |
| model-garden-lms/bert-base-finewebs-901k | 69.12 | 89.22 ± 0.69 / 88.97 ± 0.45 | 57.93 ± 1.1 / 59.49 ± 1.44 | 58.66 ± 2.99 / 77.94 ± 1.88 | 55.0 ± 1.05 / 65.75 ± 1.29 |
| model-garden-lms/bert-base-finewebs-851k | 68.76 | 89.29 ± 0.52 / 89.0 ± 0.51 | 57.68 ± 0.97 / 59.01 ± 1.23 | 57.11 ± 3.77 / 77.36 ± 1.97 | 54.79 ± 1.21 / 65.87 ± 1.32 |
| model-garden-lms/bert-base-finewebs-801k | 68.12 | 88.92 ± 0.45 / 88.6 ± 0.44 | 57.64 ± 1.09 / 60.8 ± 1.88 | 54.28 ± 4.83 / 75.48 ± 2.97 | 54.13 ± 1.61 / 65.09 ± 1.65 |
| model-garden-lms/bert-base-token-dropping-finewebs-1m | 67.66 | 88.68 ± 0.76 / 88.47 ± 0.62 | 57.4 ± 1.7 / 59.61 ± 1.6 | 52.72 ± 5.13 / 73.6 ± 4.42 | 55.04 ± 1.54 / 65.72 ± 1.75 |
| model-garden-lms/bert-base-token-dropping-finewebs-951k | 66.87 | 88.81 ± 0.68 / 88.64 ± 0.54 | 57.44 ± 1.39 / 56.85 ± 2.09 | 50.91 ± 5.08 / 72.22 ± 4.2 | 54.63 ± 1.3 / 65.43 ± 1.43 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
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