update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: output
+  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. -->
+
+# output
+
+This model is a fine-tuned version of [zhihan1996/DNA_bert_6](https://huggingface.co/zhihan1996/DNA_bert_6) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3879
+- Accuracy: 0.8612
+- Precision: 0.9154
+- Recall: 0.8240
+- F1: 0.8673
+
+## 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: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 0
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.4958        | 0.46  | 500  | 0.4749          | 0.7831   | 0.7303    | 0.9606 | 0.8298 |
+| 0.3928        | 0.93  | 1000 | 0.4086          | 0.8207   | 0.7717    | 0.9574 | 0.8546 |
+| 0.3319        | 1.39  | 1500 | 0.3467          | 0.8635   | 0.8664    | 0.8891 | 0.8776 |
+| 0.3036        | 1.85  | 2000 | 0.3176          | 0.8702   | 0.8717    | 0.8960 | 0.8836 |
+| 0.2383        | 2.31  | 2500 | 0.3403          | 0.8707   | 0.8901    | 0.8728 | 0.8814 |
+| 0.2189        | 2.78  | 3000 | 0.3879          | 0.8612   | 0.9154    | 0.8240 | 0.8673 |
+
+
+### Framework versions
+
+- Transformers 4.27.4
+- Pytorch 2.0.0+cu118
+- Tokenizers 0.13.3