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doyoungkim
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bert-base-uncased-finetuned-sst2

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add model

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Files changed (6) hide show
  1. README.md +8 -8
  2. pytorch_model.bin +1 -1
  3. runs/Aug08_18-30-38_54ddb29e1ac2/1628447489.2782922/events.out.tfevents.1628447489.54ddb29e1ac2.63.1 +3 -0
  4. runs/Aug08_18-30-38_54ddb29e1ac2/events.out.tfevents.1628447489.54ddb29e1ac2.63.0 +3 -0
  5. runs/Aug08_18-30-38_54ddb29e1ac2/events.out.tfevents.1628450499.54ddb29e1ac2.63.2 +3 -0
  6. 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: 0.930045871559633
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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: 0.4079
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- - Accuracy: 0.9300
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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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- | 0.1793 | 1.0 | 4210 | 0.3598 | 0.9094 |
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- | 0.1243 | 2.0 | 8420 | 0.3021 | 0.9243 |
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- | 0.0799 | 3.0 | 12630 | 0.3473 | 0.9220 |
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- | 0.0641 | 4.0 | 16840 | 0.3309 | 0.9289 |
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- | 0.0346 | 5.0 | 21050 | 0.4079 | 0.9300 |
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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: 0.9357798165137615
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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: 0.4175
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+ - Accuracy: 0.9358
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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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+ | 0.178 | 1.0 | 4210 | 0.3340 | 0.9037 |
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+ | 0.1246 | 2.0 | 8420 | 0.3303 | 0.9186 |
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+ | 0.0756 | 3.0 | 12630 | 0.3180 | 0.9289 |
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+ | 0.0663 | 4.0 | 16840 | 0.3218 | 0.9323 |
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+ | 0.0389 | 5.0 | 21050 | 0.4175 | 0.9358 |
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  ### Framework versions
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