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-ner
+  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-ner
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5211
+- Precision: 0.0
+- Recall: 0.0
+- F1: 0.0
+
+## 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: 6
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|
+| 0.575         | 1.0   | 2    | 0.5679          | 0.0       | 0.0    | 0.0 |
+| 0.575         | 2.0   | 4    | 0.5512          | 0.0       | 0.0    | 0.0 |
+| 0.575         | 3.0   | 6    | 0.5387          | 0.0       | 0.0    | 0.0 |
+| 0.575         | 4.0   | 8    | 0.5294          | 0.0       | 0.0    | 0.0 |
+| 0.5527        | 5.0   | 10   | 0.5236          | 0.0       | 0.0    | 0.0 |
+| 0.5527        | 6.0   | 12   | 0.5211          | 0.0       | 0.0    | 0.0 |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.3.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.13.3