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pingkeest
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newly_fine_tuned_bert

Text Classification
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bert
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  1. README.md +9 -8
  2. model.safetensors +1 -1
  3. runs/Nov03_16-46-53_PingkeePC/events.out.tfevents.1730623616.PingkeePC +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -19,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0867
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  - F1: 0.0
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  - Roc Auc: 0.5
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  - Accuracy: 0.0
@@ -47,18 +47,19 @@ 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: 50
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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- | 0.1988 | 1.0 | 22 | 0.1842 | 0.0329 | 0.4665 | 0.0 |
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- | 0.1669 | 2.0 | 44 | 0.1513 | 0.0 | 0.4622 | 0.0 |
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- | 0.1422 | 3.0 | 66 | 0.1280 | 0.0 | 0.4976 | 0.0 |
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- | 0.1234 | 4.0 | 88 | 0.1106 | 0.0 | 0.5 | 0.0 |
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- | 0.1026 | 5.0 | 110 | 0.0970 | 0.0 | 0.5 | 0.0 |
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- | 0.0916 | 6.0 | 132 | 0.0867 | 0.0 | 0.5 | 0.0 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0706
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  - F1: 0.0
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  - Roc Auc: 0.5
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  - Accuracy: 0.0
 
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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: 200
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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+ | 0.2056 | 1.0 | 22 | 0.1966 | 0.0385 | 0.4756 | 0.0 |
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+ | 0.175 | 2.0 | 44 | 0.1566 | 0.0488 | 0.5140 | 0.0 |
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+ | 0.1397 | 3.0 | 66 | 0.1229 | 0.0 | 0.4988 | 0.0 |
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+ | 0.1154 | 4.0 | 88 | 0.1032 | 0.0 | 0.5 | 0.0 |
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+ | 0.093 | 5.0 | 110 | 0.0894 | 0.0 | 0.5 | 0.0 |
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+ | 0.0827 | 6.0 | 132 | 0.0788 | 0.0 | 0.5 | 0.0 |
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+ | 0.0737 | 7.0 | 154 | 0.0706 | 0.0 | 0.5 | 0.0 |
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  ### Framework versions
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