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End of training

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README.md CHANGED
@@ -17,10 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2548
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- - F1: 0.7143
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- - Roc Auc: 0.8068
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- - Accuracy: 0.6607
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  ## Model description
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@@ -45,13 +45,14 @@ 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: 1
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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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- | 0.2499 | 1.0 | 73895 | 0.2548 | 0.7143 | 0.8068 | 0.6607 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2549
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+ - F1: 0.7177
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+ - Roc Auc: 0.8111
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+ - Accuracy: 0.6724
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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: 2
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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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+ | 0.2526 | 1.0 | 73895 | 0.2578 | 0.7127 | 0.8065 | 0.6596 |
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+ | 0.2367 | 2.0 | 147790 | 0.2549 | 0.7177 | 0.8111 | 0.6724 |
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  ### Framework versions
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