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Text Classification
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distilbert
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End of training

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  1. README.md +20 -20
  2. model.safetensors +1 -1
  3. runs/Mar20_01-13-33_f2dbfe237d11/events.out.tfevents.1710898565.f2dbfe237d11.373.24 +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-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 4.7066
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- - Precision: 0.6565
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  - Recall: 0.6310
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- - F1: 0.6300
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  - Accuracy: 0.6310
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  ## Model description
@@ -55,23 +55,23 @@ 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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- | 0.0 | 0.28 | 15 | 4.6004 | 0.6193 | 0.5952 | 0.5966 | 0.5952 |
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- | 0.0 | 0.57 | 30 | 4.6482 | 0.6193 | 0.5952 | 0.5966 | 0.5952 |
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- | 0.0 | 0.85 | 45 | 4.6616 | 0.6453 | 0.6310 | 0.6279 | 0.6310 |
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- | 0.0 | 1.13 | 60 | 4.6829 | 0.6565 | 0.6310 | 0.6300 | 0.6310 |
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- | 0.0 | 1.42 | 75 | 4.6801 | 0.6497 | 0.6190 | 0.6199 | 0.6190 |
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- | 0.0 | 1.7 | 90 | 4.6930 | 0.6497 | 0.6190 | 0.6199 | 0.6190 |
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- | 0.0 | 1.98 | 105 | 4.6917 | 0.6497 | 0.6190 | 0.6199 | 0.6190 |
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- | 0.0 | 2.26 | 120 | 4.6686 | 0.6497 | 0.6190 | 0.6199 | 0.6190 |
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- | 0.0 | 2.55 | 135 | 4.6696 | 0.6497 | 0.6190 | 0.6199 | 0.6190 |
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- | 0.0 | 2.83 | 150 | 4.7014 | 0.6565 | 0.6310 | 0.6300 | 0.6310 |
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- | 0.0 | 3.11 | 165 | 4.7055 | 0.6565 | 0.6310 | 0.6300 | 0.6310 |
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- | 0.0 | 3.4 | 180 | 4.7153 | 0.6565 | 0.6310 | 0.6300 | 0.6310 |
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- | 0.0 | 3.68 | 195 | 4.7203 | 0.6565 | 0.6310 | 0.6300 | 0.6310 |
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- | 0.0 | 3.96 | 210 | 4.7208 | 0.6565 | 0.6310 | 0.6300 | 0.6310 |
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- | 0.0 | 4.25 | 225 | 4.7215 | 0.6565 | 0.6310 | 0.6300 | 0.6310 |
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- | 0.0 | 4.53 | 240 | 4.7099 | 0.6565 | 0.6310 | 0.6300 | 0.6310 |
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- | 0.0 | 4.81 | 255 | 4.7066 | 0.6565 | 0.6310 | 0.6300 | 0.6310 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 4.6821
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+ - Precision: 0.6504
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  - Recall: 0.6310
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+ - F1: 0.6292
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  - Accuracy: 0.6310
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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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+ | 0.0 | 0.28 | 15 | 4.7222 | 0.6565 | 0.6310 | 0.6300 | 0.6310 |
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+ | 0.0 | 0.57 | 30 | 4.7349 | 0.6565 | 0.6310 | 0.6300 | 0.6310 |
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+ | 0.0 | 0.85 | 45 | 4.7393 | 0.6565 | 0.6310 | 0.6300 | 0.6310 |
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+ | 0.0 | 1.13 | 60 | 4.7156 | 0.6453 | 0.6310 | 0.6279 | 0.6310 |
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+ | 0.0 | 1.42 | 75 | 4.7066 | 0.6453 | 0.6310 | 0.6279 | 0.6310 |
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+ | 0.0 | 1.7 | 90 | 4.7169 | 0.6453 | 0.6310 | 0.6279 | 0.6310 |
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+ | 0.0 | 1.98 | 105 | 4.6991 | 0.6453 | 0.6310 | 0.6279 | 0.6310 |
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+ | 0.0 | 2.26 | 120 | 4.6971 | 0.6453 | 0.6310 | 0.6279 | 0.6310 |
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+ | 0.0 | 2.55 | 135 | 4.6570 | 0.6504 | 0.6310 | 0.6292 | 0.6310 |
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+ | 0.0 | 2.83 | 150 | 4.6596 | 0.6504 | 0.6310 | 0.6292 | 0.6310 |
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+ | 0.0 | 3.11 | 165 | 4.6646 | 0.6504 | 0.6310 | 0.6292 | 0.6310 |
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+ | 0.0 | 3.4 | 180 | 4.6775 | 0.6504 | 0.6310 | 0.6292 | 0.6310 |
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+ | 0.0 | 3.68 | 195 | 4.6758 | 0.6504 | 0.6310 | 0.6292 | 0.6310 |
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+ | 0.0 | 3.96 | 210 | 4.6771 | 0.6504 | 0.6310 | 0.6292 | 0.6310 |
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+ | 0.0 | 4.25 | 225 | 4.6797 | 0.6504 | 0.6310 | 0.6292 | 0.6310 |
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+ | 0.0 | 4.53 | 240 | 4.6813 | 0.6504 | 0.6310 | 0.6292 | 0.6310 |
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+ | 0.0 | 4.81 | 255 | 4.6821 | 0.6504 | 0.6310 | 0.6292 | 0.6310 |
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  ### Framework versions
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runs/Mar20_01-13-33_f2dbfe237d11/events.out.tfevents.1710898565.f2dbfe237d11.373.24 ADDED
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