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distilbert-base-uncased-finetuned-cola

Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
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End of training

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  1. README.md +11 -11
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -22,12 +22,12 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8321
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- - Accuracy: 0.8178
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- - F1: 0.8758
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- - Precision: 0.8282
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- - Recall: 0.9293
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- - Matthews Correlation: 0.5510
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  ## Model description
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@@ -58,11 +58,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Matthews Correlation |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:--------------------:|
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- | 0.5185 | 1.0 | 535 | 0.4731 | 0.7756 | 0.8536 | 0.7777 | 0.9459 | 0.4298 |
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- | 0.3525 | 2.0 | 1070 | 0.4631 | 0.8044 | 0.8622 | 0.8406 | 0.8849 | 0.5284 |
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- | 0.2374 | 3.0 | 1605 | 0.6060 | 0.8102 | 0.8699 | 0.8265 | 0.9182 | 0.5324 |
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- | 0.1694 | 4.0 | 2140 | 0.7755 | 0.8140 | 0.8734 | 0.8249 | 0.9279 | 0.5408 |
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- | 0.1297 | 5.0 | 2675 | 0.8321 | 0.8178 | 0.8758 | 0.8282 | 0.9293 | 0.5510 |
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5539
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+ - Accuracy: 0.8169
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+ - F1: 0.8741
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+ - Precision: 0.8329
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+ - Recall: 0.9196
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+ - Matthews Correlation: 0.5504
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Matthews Correlation |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:--------------------:|
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+ | 0.5215 | 1.0 | 535 | 0.4659 | 0.7747 | 0.8514 | 0.7826 | 0.9334 | 0.4284 |
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+ | 0.3554 | 2.0 | 1070 | 0.4588 | 0.8073 | 0.8646 | 0.8403 | 0.8904 | 0.5339 |
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+ | 0.2373 | 3.0 | 1605 | 0.5539 | 0.8169 | 0.8741 | 0.8329 | 0.9196 | 0.5504 |
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+ | 0.1736 | 4.0 | 2140 | 0.7879 | 0.8111 | 0.8723 | 0.8187 | 0.9334 | 0.5321 |
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+ | 0.1293 | 5.0 | 2675 | 0.8469 | 0.8102 | 0.8699 | 0.8265 | 0.9182 | 0.5324 |
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  ### Framework versions
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