update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+model-index:
+- name: biobert-v1.1-BC2GM-NCBI-BC5CDR-IOBES
+  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. -->
+
+# biobert-v1.1-BC2GM-NCBI-BC5CDR-IOBES
+
+This model is a fine-tuned version of [sujeongh/biobert-v1.1-BC2GM-NCBI-IOBES](https://huggingface.co/sujeongh/biobert-v1.1-BC2GM-NCBI-IOBES) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3932
+- Precision: 0.8824
+- Recall: 0.1339
+- F1: 0.2326
+
+## 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: 64
+- eval_batch_size: 64
+- 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 | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
+| 0.4535        | 1.0   | 1    | 0.4246          | 0.0       | 0.0    | 0.0    |
+| 0.4535        | 2.0   | 2    | 0.4094          | 0.25      | 0.0045 | 0.0088 |
+| 0.4535        | 3.0   | 3    | 0.4015          | 0.6       | 0.0268 | 0.0513 |
+| 0.4535        | 4.0   | 4    | 0.3960          | 0.8182    | 0.0804 | 0.1463 |
+| 0.4535        | 5.0   | 5    | 0.3932          | 0.8824    | 0.1339 | 0.2326 |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.3.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.13.3