update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: PathologyBERT-meningioma
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# PathologyBERT-meningioma
+
+This model is a fine-tuned version of [tsantos/PathologyBERT](https://huggingface.co/tsantos/PathologyBERT) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6939
+- Accuracy: 0.8696
+- Precision: 0.0
+- Recall: 0.0
+- F1: 0.0
+- Conf Matrix: [[  0  12]
+ [  3 100]]
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 0
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     | Conf Matrix            |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:----------------------:|
+| 0.5537        | 1.0   | 71   | 0.5252          | 0.7304   | 0.0870    | 0.1667 | 0.1143 | [[ 2 10]
+ [21 82]]     |
+| 0.3702        | 2.0   | 142  | 0.3598          | 0.8870   | 0.0       | 0.0    | 0.0    | [[  0  12]
+ [  1 102]] |
+| 0.2892        | 3.0   | 213  | 0.3999          | 0.8696   | 0.2       | 0.0833 | 0.1176 | [[ 1 11]
+ [ 4 99]]     |
+| 0.2745        | 4.0   | 284  | 0.4806          | 0.8870   | 0.0       | 0.0    | 0.0    | [[  0  12]
+ [  1 102]] |
+| 0.2131        | 5.0   | 355  | 0.4988          | 0.8609   | 0.0       | 0.0    | 0.0    | [[ 0 12]
+ [ 4 99]]     |
+| 0.1685        | 6.0   | 426  | 0.6441          | 0.8348   | 0.1111    | 0.0833 | 0.0952 | [[ 1 11]
+ [ 8 95]]     |
+| 0.138         | 7.0   | 497  | 0.5988          | 0.8957   | 1.0       | 0.0    | 0.0    | [[  0  12]
+ [  0 103]] |
+| 0.1069        | 8.0   | 568  | 0.6765          | 0.8609   | 0.0       | 0.0    | 0.0    | [[ 0 12]
+ [ 4 99]]     |
+| 0.1185        | 9.0   | 639  | 0.6838          | 0.8696   | 0.0       | 0.0    | 0.0    | [[  0  12]
+ [  3 100]] |
+| 0.0891        | 10.0  | 710  | 0.6939          | 0.8696   | 0.0       | 0.0    | 0.0    | [[  0  12]
+ [  3 100]] |
+
+
+### Framework versions
+
+- Transformers 4.12.2
+- Pytorch 1.10.1
+- Datasets 1.15.0
+- Tokenizers 0.10.3