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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 +13 -13
  2. model.safetensors +1 -1
  3. runs/Mar19_12-58-03_6741784b18f7/events.out.tfevents.1710857331.6741784b18f7.129.10 +3 -0
README.md CHANGED
@@ -20,11 +20,11 @@ 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: 1.6103
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- - Precision: 0.6674
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- - Recall: 0.6429
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- - F1: 0.6311
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- - Accuracy: 0.6429
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  ## Model description
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@@ -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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- | 0.2333 | 0.57 | 30 | 1.2521 | 0.6687 | 0.5952 | 0.5852 | 0.5952 |
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- | 0.2148 | 1.13 | 60 | 1.2898 | 0.7038 | 0.6190 | 0.6124 | 0.6190 |
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- | 0.0911 | 1.7 | 90 | 1.5986 | 0.6385 | 0.6071 | 0.6077 | 0.6071 |
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- | 0.0547 | 2.26 | 120 | 1.4940 | 0.6403 | 0.6071 | 0.5989 | 0.6071 |
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- | 0.0576 | 2.83 | 150 | 1.5712 | 0.6465 | 0.6190 | 0.6092 | 0.6190 |
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- | 0.0173 | 3.4 | 180 | 1.5472 | 0.6449 | 0.6310 | 0.6196 | 0.6310 |
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- | 0.007 | 3.96 | 210 | 1.6127 | 0.6689 | 0.6429 | 0.6307 | 0.6429 |
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- | 0.005 | 4.53 | 240 | 1.6103 | 0.6674 | 0.6429 | 0.6311 | 0.6429 |
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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: 1.7631
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+ - Precision: 0.6960
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+ - Recall: 0.6667
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+ - F1: 0.6603
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+ - Accuracy: 0.6667
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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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+ | 0.0052 | 0.57 | 30 | 1.5521 | 0.6933 | 0.6786 | 0.6651 | 0.6786 |
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+ | 0.0036 | 1.13 | 60 | 1.5878 | 0.6849 | 0.6667 | 0.6552 | 0.6667 |
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+ | 0.0035 | 1.7 | 90 | 1.8119 | 0.6644 | 0.6310 | 0.6244 | 0.6310 |
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+ | 0.0021 | 2.26 | 120 | 1.7533 | 0.6817 | 0.6548 | 0.6461 | 0.6548 |
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+ | 0.0018 | 2.83 | 150 | 1.7578 | 0.6817 | 0.6548 | 0.6461 | 0.6548 |
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+ | 0.0016 | 3.4 | 180 | 1.7545 | 0.6911 | 0.6667 | 0.6583 | 0.6667 |
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+ | 0.0015 | 3.96 | 210 | 1.7612 | 0.6960 | 0.6667 | 0.6603 | 0.6667 |
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+ | 0.0014 | 4.53 | 240 | 1.7631 | 0.6960 | 0.6667 | 0.6603 | 0.6667 |
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  ### Framework versions
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runs/Mar19_12-58-03_6741784b18f7/events.out.tfevents.1710857331.6741784b18f7.129.10 ADDED
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