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trainer2

Text Classification
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distilbert
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End of training

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  1. README.md +11 -11
  2. model.safetensors +1 -1
  3. runs/Mar19_21-22-13_f2dbfe237d11/events.out.tfevents.1710886092.f2dbfe237d11.373.14 +2 -2
  4. runs/Mar19_21-22-13_f2dbfe237d11/events.out.tfevents.1710889849.f2dbfe237d11.373.15 +3 -0
README.md CHANGED
@@ -20,10 +20,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.5691
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- - Precision: 0.6582
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  - Recall: 0.6071
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- - F1: 0.6064
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  - Accuracy: 0.6071
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  ## Model description
@@ -55,14 +55,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 0.1561 | 0.57 | 30 | 3.7469 | 0.4468 | 0.3690 | 0.3388 | 0.3690 |
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- | 0.0728 | 1.13 | 60 | 2.5416 | 0.6275 | 0.5952 | 0.5839 | 0.5952 |
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- | 0.0016 | 1.7 | 90 | 2.4746 | 0.6998 | 0.6548 | 0.6492 | 0.6548 |
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- | 0.0194 | 2.26 | 120 | 2.8199 | 0.6492 | 0.5952 | 0.6011 | 0.5952 |
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- | 0.0032 | 2.83 | 150 | 2.7695 | 0.6307 | 0.5595 | 0.5562 | 0.5595 |
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- | 0.0028 | 3.4 | 180 | 2.8934 | 0.6442 | 0.5952 | 0.5928 | 0.5952 |
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- | 0.003 | 3.96 | 210 | 2.6995 | 0.6613 | 0.6071 | 0.6024 | 0.6071 |
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- | 0.0003 | 4.53 | 240 | 2.5716 | 0.6582 | 0.6071 | 0.6064 | 0.6071 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.9503
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+ - Precision: 0.6569
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  - Recall: 0.6071
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+ - F1: 0.6119
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  - Accuracy: 0.6071
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.0002 | 0.57 | 30 | 2.6229 | 0.6545 | 0.6071 | 0.6066 | 0.6071 |
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+ | 0.0001 | 1.13 | 60 | 2.6791 | 0.6866 | 0.6310 | 0.6362 | 0.6310 |
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+ | 0.0001 | 1.7 | 90 | 2.8369 | 0.6569 | 0.6071 | 0.6119 | 0.6071 |
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+ | 0.0001 | 2.26 | 120 | 2.9043 | 0.6569 | 0.6071 | 0.6119 | 0.6071 |
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+ | 0.0001 | 2.83 | 150 | 2.9231 | 0.6569 | 0.6071 | 0.6119 | 0.6071 |
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+ | 0.0001 | 3.4 | 180 | 2.9291 | 0.6569 | 0.6071 | 0.6119 | 0.6071 |
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+ | 0.0001 | 3.96 | 210 | 2.9367 | 0.6569 | 0.6071 | 0.6119 | 0.6071 |
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+ | 0.0001 | 4.53 | 240 | 2.9472 | 0.6569 | 0.6071 | 0.6119 | 0.6071 |
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  ### Framework versions
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