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End of training

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  1. README.md +16 -14
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@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.5190
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  ## Model description
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@@ -39,22 +39,24 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 10
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 3.1594 | 1.0 | 28 | 2.8804 |
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- | 2.7543 | 2.0 | 56 | 2.7460 |
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- | 2.635 | 3.0 | 84 | 2.6926 |
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- | 2.5946 | 4.0 | 112 | 2.6332 |
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- | 2.5443 | 5.0 | 140 | 2.5994 |
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- | 2.5115 | 6.0 | 168 | 2.5734 |
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- | 2.4775 | 7.0 | 196 | 2.5500 |
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- | 2.43 | 8.0 | 224 | 2.5322 |
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- | 2.4216 | 9.0 | 252 | 2.5236 |
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- | 2.3892 | 10.0 | 280 | 2.5190 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0020
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  ## Model description
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  - seed: 42
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - num_epochs: 2
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 3.1594 | 1.0 | 28 | 2.8804 |
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+ | 2.7543 | 2.0 | 56 | 2.7460 |
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+ | 2.635 | 3.0 | 84 | 2.6926 |
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+ | 2.5946 | 4.0 | 112 | 2.6332 |
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+ | 2.5443 | 5.0 | 140 | 2.5994 |
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+ | 2.5115 | 6.0 | 168 | 2.5734 |
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+ | 2.4775 | 7.0 | 196 | 2.5500 |
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+ | 2.43 | 8.0 | 224 | 2.5322 |
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+ | 2.4216 | 9.0 | 252 | 2.5236 |
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+ | 2.3892 | 10.0 | 280 | 2.5190 |
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+ | 0.0042 | 1.0 | 27339 | 0.0036 |
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+ | 0.0021 | 2.0 | 54678 | 0.0020 |
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  ### Framework versions