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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: 0.9589059598176599
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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: 0.1430
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- - Precision: 0.7811
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- - Recall: 0.8141
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- - F1: 0.7973
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- - Accuracy: 0.9589
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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 | 0.2001 | 0.7109 | 0.7505 | 0.7301 | 0.9422 |
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- | No log | 2.0 | 414 | 0.1581 | 0.7347 | 0.7792 | 0.7563 | 0.9510 |
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- | 0.2354 | 3.0 | 621 | 0.1506 | 0.7612 | 0.8034 | 0.7818 | 0.9555 |
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- | 0.2354 | 4.0 | 828 | 0.1534 | 0.7728 | 0.8082 | 0.7901 | 0.9569 |
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- | 0.0883 | 5.0 | 1035 | 0.1430 | 0.7811 | 0.8141 | 0.7973 | 0.9589 |
 
 
 
 
 
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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: 0.9632618605436434
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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: 0.1682
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+ - Precision: 0.8153
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+ - Recall: 0.8353
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+ - F1: 0.8251
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+ - Accuracy: 0.9633
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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 | 0.2003 | 0.6991 | 0.7440 | 0.7209 | 0.9415 |
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+ | No log | 2.0 | 414 | 0.1597 | 0.7202 | 0.7770 | 0.7475 | 0.9509 |
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+ | 0.2342 | 3.0 | 621 | 0.1505 | 0.7619 | 0.8012 | 0.7811 | 0.9558 |
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+ | 0.2342 | 4.0 | 828 | 0.1710 | 0.7822 | 0.8020 | 0.7920 | 0.9564 |
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+ | 0.082 | 5.0 | 1035 | 0.1434 | 0.7969 | 0.8277 | 0.8120 | 0.9614 |
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+ | 0.082 | 6.0 | 1242 | 0.1526 | 0.8001 | 0.8350 | 0.8171 | 0.9625 |
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+ | 0.082 | 7.0 | 1449 | 0.1590 | 0.8061 | 0.8384 | 0.8219 | 0.9633 |
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+ | 0.0353 | 8.0 | 1656 | 0.1616 | 0.8143 | 0.8296 | 0.8219 | 0.9634 |
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+ | 0.0353 | 9.0 | 1863 | 0.1684 | 0.8167 | 0.8367 | 0.8265 | 0.9631 |
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+ | 0.017 | 10.0 | 2070 | 0.1682 | 0.8153 | 0.8353 | 0.8251 | 0.9633 |
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  ### Framework versions
pytorch_model.bin CHANGED
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