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bert-base-uncased-finetuned-sst2

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bert
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doyoungkim commited on
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add model

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Files changed (12) hide show
  1. README.md +8 -8
  2. pytorch_model.bin +1 -1
  3. runs/Aug03_22-47-17_29420d7dbe17/1628030848.3862076/events.out.tfevents.1628030848.29420d7dbe17.105.1 +3 -0
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  6. runs/Aug03_22-48-05_29420d7dbe17/events.out.tfevents.1628030893.29420d7dbe17.105.2 +3 -0
  7. runs/Aug03_22-49-29_29420d7dbe17/1628030984.6124551/events.out.tfevents.1628030984.29420d7dbe17.105.5 +3 -0
  8. runs/Aug03_22-49-29_29420d7dbe17/events.out.tfevents.1628030984.29420d7dbe17.105.4 +3 -0
  9. runs/Aug03_22-58-20_29420d7dbe17/1628031520.7575758/events.out.tfevents.1628031520.29420d7dbe17.105.7 +3 -0
  10. runs/Aug03_22-58-20_29420d7dbe17/events.out.tfevents.1628031520.29420d7dbe17.105.6 +3 -0
  11. runs/Aug03_22-58-20_29420d7dbe17/events.out.tfevents.1628035076.29420d7dbe17.105.8 +3 -0
  12. training_args.bin +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ model_index:
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  metric:
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  name: Accuracy
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  type: accuracy
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- value: 0.9277522935779816
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -26,8 +26,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3167
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- - Accuracy: 0.9278
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  ## Model description
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@@ -58,11 +58,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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- | 0.1801 | 1.0 | 4210 | 0.3290 | 0.9083 |
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- | 0.1273 | 2.0 | 8420 | 0.3167 | 0.9278 |
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- | 0.0799 | 3.0 | 12630 | 0.3707 | 0.9255 |
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- | 0.0636 | 4.0 | 16840 | 0.3339 | 0.9278 |
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- | 0.04 | 5.0 | 21050 | 0.4060 | 0.9220 |
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  ### Framework versions
 
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  metric:
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  name: Accuracy
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  type: accuracy
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+ value: 0.9220183486238532
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3912
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+ - Accuracy: 0.9220
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 0.4005 | 1.0 | 4210 | 0.4058 | 0.9025 |
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+ | 0.3707 | 2.0 | 8420 | 0.4141 | 0.8968 |
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+ | 0.3554 | 3.0 | 12630 | 0.3978 | 0.9151 |
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+ | 0.3551 | 4.0 | 16840 | 0.3912 | 0.9220 |
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+ | 0.353 | 5.0 | 21050 | 0.3930 | 0.9209 |
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  ### Framework versions
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