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Model save

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README.md CHANGED
@@ -21,7 +21,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [DedalusHealthCare/tinybert-mlm-en](https://huggingface.co/DedalusHealthCare/tinybert-mlm-en) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5703
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  - Accuracy: 0.9816
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  - F1: 0.0
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  - Precision: 0.0
@@ -60,15 +60,15 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | 0.703 | 0.2857 | 1 | 0.7166 | 0.2310 | 0.0456 | 0.0233 | 1.0 |
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- | 0.703 | 0.5714 | 2 | 0.7117 | 0.2677 | 0.0412 | 0.0211 | 0.8571 |
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- | 0.703 | 0.8571 | 3 | 0.7020 | 0.3701 | 0.04 | 0.0206 | 0.7143 |
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- | 0.703 | 1.1429 | 4 | 0.6875 | 0.5774 | 0.0359 | 0.0187 | 0.4286 |
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- | 0.703 | 1.4286 | 5 | 0.6686 | 0.7874 | 0.0 | 0.0 | 0.0 |
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- | 0.703 | 1.7143 | 6 | 0.6458 | 0.9423 | 0.0 | 0.0 | 0.0 |
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- | 0.703 | 2.0 | 7 | 0.6198 | 0.9816 | 0.0 | 0.0 | 0.0 |
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- | 0.703 | 2.2857 | 8 | 0.5946 | 0.9816 | 0.0 | 0.0 | 0.0 |
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- | 0.703 | 2.5714 | 9 | 0.5703 | 0.9816 | 0.0 | 0.0 | 0.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [DedalusHealthCare/tinybert-mlm-en](https://huggingface.co/DedalusHealthCare/tinybert-mlm-en) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5776
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  - Accuracy: 0.9816
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  - F1: 0.0
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  - Precision: 0.0
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 0.7155 | 0.2857 | 1 | 0.7256 | 0.1969 | 0.0437 | 0.0224 | 1.0 |
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+ | 0.7155 | 0.5714 | 2 | 0.7204 | 0.2283 | 0.0455 | 0.0233 | 1.0 |
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+ | 0.7155 | 0.8571 | 3 | 0.7102 | 0.3333 | 0.0451 | 0.0232 | 0.8571 |
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+ | 0.7155 | 1.1429 | 4 | 0.6954 | 0.4803 | 0.0388 | 0.0201 | 0.5714 |
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+ | 0.7155 | 1.4286 | 5 | 0.6763 | 0.7008 | 0.0500 | 0.0265 | 0.4286 |
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+ | 0.7155 | 1.7143 | 6 | 0.6533 | 0.8530 | 0.0345 | 0.0196 | 0.1429 |
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+ | 0.7155 | 2.0 | 7 | 0.6268 | 0.9580 | 0.0 | 0.0 | 0.0 |
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+ | 0.7155 | 2.2857 | 8 | 0.6016 | 0.9816 | 0.0 | 0.0 | 0.0 |
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+ | 0.7155 | 2.5714 | 9 | 0.5776 | 0.9816 | 0.0 | 0.0 | 0.0 |
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  ### Framework versions
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