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PathologyBERT-meningioma

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update model card README.md

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@@ -18,13 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [tsantos/PathologyBERT](https://huggingface.co/tsantos/PathologyBERT) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6939
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- - Accuracy: 0.8696
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- - Precision: 0.0
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- - Recall: 0.0
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- - F1: 0.0
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- - Conf Matrix: [[ 0 12]
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- [ 3 100]]
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  ## Model description
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@@ -53,28 +51,18 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Conf Matrix |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:----------------------:|
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- | 0.5537 | 1.0 | 71 | 0.5252 | 0.7304 | 0.0870 | 0.1667 | 0.1143 | [[ 2 10]
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- [21 82]] |
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- | 0.3702 | 2.0 | 142 | 0.3598 | 0.8870 | 0.0 | 0.0 | 0.0 | [[ 0 12]
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- [ 1 102]] |
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- | 0.2892 | 3.0 | 213 | 0.3999 | 0.8696 | 0.2 | 0.0833 | 0.1176 | [[ 1 11]
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- [ 4 99]] |
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- | 0.2745 | 4.0 | 284 | 0.4806 | 0.8870 | 0.0 | 0.0 | 0.0 | [[ 0 12]
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- [ 1 102]] |
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- | 0.2131 | 5.0 | 355 | 0.4988 | 0.8609 | 0.0 | 0.0 | 0.0 | [[ 0 12]
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- [ 4 99]] |
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- | 0.1685 | 6.0 | 426 | 0.6441 | 0.8348 | 0.1111 | 0.0833 | 0.0952 | [[ 1 11]
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- [ 8 95]] |
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- | 0.138 | 7.0 | 497 | 0.5988 | 0.8957 | 1.0 | 0.0 | 0.0 | [[ 0 12]
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- [ 0 103]] |
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- | 0.1069 | 8.0 | 568 | 0.6765 | 0.8609 | 0.0 | 0.0 | 0.0 | [[ 0 12]
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- [ 4 99]] |
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- | 0.1185 | 9.0 | 639 | 0.6838 | 0.8696 | 0.0 | 0.0 | 0.0 | [[ 0 12]
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- [ 3 100]] |
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- | 0.0891 | 10.0 | 710 | 0.6939 | 0.8696 | 0.0 | 0.0 | 0.0 | [[ 0 12]
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- [ 3 100]] |
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  ### Framework versions
 
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  This model is a fine-tuned version of [tsantos/PathologyBERT](https://huggingface.co/tsantos/PathologyBERT) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8123
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+ - Accuracy: 0.8783
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+ - Precision: 0.25
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+ - Recall: 0.0833
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+ - F1: 0.125
 
 
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 0.3723 | 1.0 | 71 | 0.5377 | 0.7652 | 0.0588 | 0.0833 | 0.0690 |
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+ | 0.3363 | 2.0 | 142 | 0.4191 | 0.8783 | 0.25 | 0.0833 | 0.125 |
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+ | 0.2773 | 3.0 | 213 | 0.4701 | 0.8870 | 0.3333 | 0.0833 | 0.1333 |
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+ | 0.2303 | 4.0 | 284 | 0.5831 | 0.8957 | 0.5 | 0.0833 | 0.1429 |
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+ | 0.1657 | 5.0 | 355 | 0.7083 | 0.8348 | 0.1111 | 0.0833 | 0.0952 |
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+ | 0.1228 | 6.0 | 426 | 1.0324 | 0.8 | 0.0769 | 0.0833 | 0.08 |
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+ | 0.0967 | 7.0 | 497 | 0.8103 | 0.8696 | 0.2 | 0.0833 | 0.1176 |
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+ | 0.0729 | 8.0 | 568 | 0.8711 | 0.8696 | 0.2 | 0.0833 | 0.1176 |
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+ | 0.0624 | 9.0 | 639 | 0.7968 | 0.8783 | 0.25 | 0.0833 | 0.125 |
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+ | 0.0534 | 10.0 | 710 | 0.8123 | 0.8783 | 0.25 | 0.0833 | 0.125 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions