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fine_tuned_copa_bert

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  1. README.md +12 -12
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6931
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- - Accuracy: 0.55
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- - F1: 0.3903
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  ## Model description
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@@ -39,7 +39,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.003
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
@@ -51,14 +51,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.7002 | 1.0 | 50 | 0.6931 | 0.52 | 0.3763 |
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- | 0.7122 | 2.0 | 100 | 0.6931 | 0.57 | 0.5334 |
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- | 0.7061 | 3.0 | 150 | 0.6931 | 0.55 | 0.4368 |
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- | 0.704 | 4.0 | 200 | 0.6931 | 0.53 | 0.3810 |
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- | 0.722 | 5.0 | 250 | 0.6931 | 0.55 | 0.3903 |
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- | 0.7157 | 6.0 | 300 | 0.6931 | 0.53 | 0.4831 |
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- | 0.7265 | 7.0 | 350 | 0.6931 | 0.48 | 0.4457 |
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- | 0.7298 | 8.0 | 400 | 0.6931 | 0.55 | 0.3903 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0295
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+ - Accuracy: 0.54
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+ - F1: 0.5407
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.7066 | 1.0 | 50 | 0.6907 | 0.54 | 0.5411 |
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+ | 0.6897 | 2.0 | 100 | 0.6880 | 0.57 | 0.5709 |
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+ | 0.6001 | 3.0 | 150 | 0.7025 | 0.55 | 0.5511 |
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+ | 0.4629 | 4.0 | 200 | 0.7810 | 0.53 | 0.5310 |
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+ | 0.3402 | 5.0 | 250 | 1.0003 | 0.55 | 0.5511 |
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+ | 0.2299 | 6.0 | 300 | 1.0220 | 0.55 | 0.5511 |
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+ | 0.1874 | 7.0 | 350 | 0.9956 | 0.56 | 0.5611 |
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+ | 0.1133 | 8.0 | 400 | 1.0295 | 0.54 | 0.5407 |
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  ### Framework versions
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