update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: BioLinkBERT-LitCovid-v1.1
+  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. -->
+
+# BioLinkBERT-LitCovid-v1.1
+
+This model is a fine-tuned version of [michiyasunaga/BioLinkBERT-base](https://huggingface.co/michiyasunaga/BioLinkBERT-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1070
+- F1: 0.9009
+- Roc Auc: 0.9439
+- Accuracy: 0.7915
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
+| 0.119         | 1.0   | 1560 | 0.1121          | 0.8949 | 0.9366  | 0.7857   |
+| 0.0994        | 2.0   | 3120 | 0.1050          | 0.8999 | 0.9335  | 0.7934   |
+| 0.0745        | 3.0   | 4680 | 0.1070          | 0.9009 | 0.9439  | 0.7915   |
+| 0.0584        | 4.0   | 6240 | 0.1132          | 0.8986 | 0.9367  | 0.7900   |
+| 0.0445        | 5.0   | 7800 | 0.1183          | 0.8993 | 0.9385  | 0.7886   |
+
+
+### Framework versions
+
+- Transformers 4.28.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.13.3