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  1. README.md +17 -12
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -17,7 +17,7 @@ model_index:
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  metric:
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  name: Accuracy
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  type: accuracy
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- value: 0.9460162843439789
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -27,11 +27,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2068
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- - Precision: 0.7730
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- - Recall: 0.7554
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- - F1: 0.7641
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- - Accuracy: 0.9460
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  ## Model description
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@@ -56,17 +56,22 @@ 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: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 1.0 | 207 | 0.2808 | 0.7288 | 0.6295 | 0.6755 | 0.9227 |
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- | No log | 2.0 | 414 | 0.2098 | 0.7564 | 0.7163 | 0.7358 | 0.9386 |
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- | 0.2985 | 3.0 | 621 | 0.2060 | 0.7839 | 0.7267 | 0.7542 | 0.9433 |
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- | 0.2985 | 4.0 | 828 | 0.1993 | 0.7425 | 0.7739 | 0.7579 | 0.9444 |
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- | 0.1026 | 5.0 | 1035 | 0.2068 | 0.7730 | 0.7554 | 0.7641 | 0.9460 |
 
 
 
 
 
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  ### Framework versions
 
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  metric:
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  name: Accuracy
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  type: accuracy
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+ value: 0.951370041268543
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2619
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+ - Precision: 0.8157
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+ - Recall: 0.7934
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+ - F1: 0.8044
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+ - Accuracy: 0.9514
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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 | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 207 | 0.2845 | 0.7431 | 0.6314 | 0.6827 | 0.9225 |
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+ | No log | 2.0 | 414 | 0.2082 | 0.7766 | 0.7134 | 0.7436 | 0.9396 |
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+ | 0.2949 | 3.0 | 621 | 0.1992 | 0.7699 | 0.7596 | 0.7647 | 0.9439 |
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+ | 0.2949 | 4.0 | 828 | 0.2044 | 0.7485 | 0.7908 | 0.7691 | 0.9456 |
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+ | 0.0896 | 5.0 | 1035 | 0.2129 | 0.7827 | 0.7778 | 0.7802 | 0.9476 |
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+ | 0.0896 | 6.0 | 1242 | 0.2330 | 0.7893 | 0.7882 | 0.7887 | 0.9485 |
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+ | 0.0896 | 7.0 | 1449 | 0.2337 | 0.8026 | 0.7947 | 0.7986 | 0.9504 |
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+ | 0.0334 | 8.0 | 1656 | 0.2579 | 0.8111 | 0.7850 | 0.7978 | 0.9503 |
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+ | 0.0334 | 9.0 | 1863 | 0.2792 | 0.8263 | 0.7830 | 0.8041 | 0.9510 |
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+ | 0.0152 | 10.0 | 2070 | 0.2619 | 0.8157 | 0.7934 | 0.8044 | 0.9514 |
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  ### Framework versions
pytorch_model.bin CHANGED
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