update model card README.md

README.md

@@ -0,0 +1,66 @@
+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: PubMedBERT-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. -->
+
+# PubMedBERT-LitCovid-v1.1
+
+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: 0.1198
+- F1: 0.8985
+- Roc Auc: 0.9368
+- Accuracy: 0.7937
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
+| 0.1187        | 1.0   | 1560 | 0.1141          | 0.8923 | 0.9335  | 0.7819   |
+| 0.0976        | 2.0   | 3120 | 0.1063          | 0.8983 | 0.9325  | 0.7924   |
+| 0.0702        | 3.0   | 4680 | 0.1147          | 0.8970 | 0.9420  | 0.7839   |
+| 0.0534        | 4.0   | 6240 | 0.1198          | 0.8985 | 0.9368  | 0.7937   |
+| 0.0391        | 5.0   | 7800 | 0.1266          | 0.8982 | 0.9384  | 0.7902   |
+
+
+### Framework versions
+
+- Transformers 4.28.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.13.3