Update README.md

README.md

@@ -1,38 +1,49 @@
 ---
 license: mit
 ---
-BioLinkBERT-LitCovid-v1.0
-This model is a fine-tuned version of michiyasunaga/BioLinkBERT-base on an unknown dataset. It achieves the following results on the evaluation set:
-
-Loss: 0.1098
-F1: 0.8992
-Roc Auc: 0.9330
-Accuracy: 0.7945
-Model description
+# BioLinkBERT-LitCovid-v1.0
+
+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: 0.1098
+- F1: 0.8992
+- Roc Auc: 0.9330
+- Accuracy: 0.7945
+
+## Model description
+
 More information needed
 
-Intended uses & limitations
+## Intended uses & limitations
+
 More information needed
 
-Training and evaluation data
+## Training and evaluation data
+
 More information needed
 
-Training procedure
-Training hyperparameters
+## Training procedure
+### Training hyperparameters
+
 The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+- 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
+| 0.1172        | 1.0   | 3120 | 0.1098          | 0.8992 | 0.9330  | 0.7945   |
+
+
+### Framework versions
 
-learning_rate: 2e-05
-train_batch_size: 8
-eval_batch_size: 8
-seed: 42
-optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-lr_scheduler_type: linear
-num_epochs: 1
-Training results
-Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
-0.1172	1.0	3120	0.1098	0.8992	0.9330	0.7945
-
-Transformers 4.28.0
-Pytorch 2.0.1+cu118
-Datasets 2.12.0
-Tokenizers 0.13.3
+- Transformers 4.28.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3