update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: PubMedBERT-LitCovid-v1.2
+  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. -->
+
+# PubMedBERT-LitCovid-v1.2
+
+This model is a fine-tuned version of [microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract](https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0998
+- F1: 0.9200
+- Roc Auc: 0.9529
+- Accuracy: 0.7868
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:--------:|
+| 0.1017        | 1.0   | 2211  | 0.0897          | 0.9155 | 0.9492  | 0.7722   |
+| 0.0742        | 2.0   | 4422  | 0.0868          | 0.9177 | 0.9508  | 0.7778   |
+| 0.0559        | 3.0   | 6633  | 0.0903          | 0.9191 | 0.9521  | 0.7827   |
+| 0.0396        | 4.0   | 8844  | 0.0955          | 0.9184 | 0.9512  | 0.7814   |
+| 0.0282        | 5.0   | 11055 | 0.0998          | 0.9200 | 0.9529  | 0.7868   |
+
+
+### Framework versions
+
+- Transformers 4.28.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.13.3