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End of training

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  1. README.md +10 -6
  2. model.safetensors +1 -1
README.md CHANGED
@@ -16,8 +16,8 @@ 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: 0.3323
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- - Accuracy: 0.8783
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  ## Model description
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@@ -42,15 +42,19 @@ 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: 3.0
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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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- | 0.6973 | 1.0 | 191 | 0.3455 | 0.8628 |
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- | 0.3014 | 2.0 | 382 | 0.3175 | 0.8768 |
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- | 0.2034 | 3.0 | 573 | 0.3323 | 0.8783 |
 
 
 
 
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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: 0.6246
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+ - Accuracy: 0.8803
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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: 10
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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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+ | 0.2293 | 1.0 | 191 | 0.4631 | 0.8640 |
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+ | 0.102 | 2.0 | 382 | 0.5060 | 0.8762 |
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+ | 0.0861 | 3.0 | 573 | 0.4089 | 0.875 |
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+ | 0.0835 | 4.0 | 764 | 0.4706 | 0.8774 |
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+ | 0.0593 | 5.0 | 955 | 0.5330 | 0.8811 |
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+ | 0.041 | 6.0 | 1146 | 0.5649 | 0.8803 |
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+ | 0.0366 | 7.0 | 1337 | 0.6246 | 0.8803 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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