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End of training

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README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.1321
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- - Accuracy: 0.3453
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  ## Model description
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@@ -40,17 +40,31 @@ The following hyperparameters were used during training:
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  - learning_rate: 5e-06
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  - train_batch_size: 16
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  - eval_batch_size: 16
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- - seed: 46
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 1
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  - mixed_precision_training: Native AMP
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 3.5633 | 1.0 | 720 | 3.1321 | 0.3453 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5797
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+ - Accuracy: 0.8716
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  ## Model description
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  - learning_rate: 5e-06
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  - train_batch_size: 16
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  - eval_batch_size: 16
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+ - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 15
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  - mixed_precision_training: Native AMP
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 3.3465 | 1.0 | 720 | 2.3843 | 0.5347 |
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+ | 1.9972 | 2.0 | 1440 | 1.4809 | 0.7093 |
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+ | 1.3555 | 3.0 | 2160 | 1.0981 | 0.7757 |
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+ | 1.0033 | 4.0 | 2880 | 0.8683 | 0.8259 |
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+ | 0.7694 | 5.0 | 3600 | 0.7548 | 0.8387 |
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+ | 0.613 | 6.0 | 4320 | 0.6804 | 0.8480 |
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+ | 0.5019 | 7.0 | 5040 | 0.6344 | 0.8544 |
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+ | 0.4203 | 8.0 | 5760 | 0.6095 | 0.8633 |
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+ | 0.3599 | 9.0 | 6480 | 0.5934 | 0.8633 |
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+ | 0.3099 | 10.0 | 7200 | 0.5879 | 0.8623 |
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+ | 0.2783 | 11.0 | 7920 | 0.5834 | 0.8682 |
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+ | 0.2499 | 12.0 | 8640 | 0.5825 | 0.8642 |
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+ | 0.2292 | 13.0 | 9360 | 0.5813 | 0.8677 |
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+ | 0.2164 | 14.0 | 10080 | 0.5797 | 0.8716 |
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+ | 0.2104 | 15.0 | 10800 | 0.5816 | 0.8677 |
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  ### Framework versions
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