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End of training

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  1. README.md +9 -4
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0841
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  ## Model description
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@@ -40,14 +40,19 @@ The following hyperparameters were used during training:
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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: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.7625 | 1.43 | 1000 | 1.0725 |
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- | 0.6839 | 2.86 | 2000 | 1.0841 |
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.8420
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  ## Model description
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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: 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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+ | 1.7455 | 1.43 | 1000 | 1.7800 |
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+ | 1.4506 | 2.86 | 2000 | 1.7218 |
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+ | 1.2631 | 4.29 | 3000 | 1.7590 |
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+ | 1.1055 | 5.71 | 4000 | 1.7759 |
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+ | 1.0248 | 7.14 | 5000 | 1.8152 |
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+ | 0.9481 | 8.57 | 6000 | 1.8341 |
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+ | 0.9027 | 10.0 | 7000 | 1.8420 |
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  ### Framework versions
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