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: 0.3966
+- Accuracy: 0.8492
+- Precision: 0.8807
+- Recall: 0.8283
+- F1: 0.8537
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.4859        | 0.41  | 500  | 0.4180          | 0.8001   | 0.8552    | 0.7506 | 0.7995 |
+| 0.3937        | 0.81  | 1000 | 0.4044          | 0.8217   | 0.8871    | 0.7612 | 0.8193 |
+| 0.3426        | 1.22  | 1500 | 0.3740          | 0.8340   | 0.8765    | 0.8    | 0.8365 |
+| 0.3068        | 1.63  | 2000 | 0.3839          | 0.8398   | 0.8808    | 0.8077 | 0.8426 |
+| 0.2757        | 2.04  | 2500 | 0.4260          | 0.8386   | 0.8181    | 0.8950 | 0.8548 |
+| 0.2211        | 2.44  | 3000 | 0.3966          | 0.8492   | 0.8807    | 0.8283 | 0.8537 |
+
+
+### Framework versions
+
+- Transformers 4.27.4
+- Pytorch 1.13.1+cu116
+- Tokenizers 0.13.2