update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bert_base_cased_MultiClass_v2
+  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. -->
+
+# bert_base_cased_MultiClass_v2
+
+This model is a fine-tuned version of [HMEXBI/bert_base_cased_MultiClass](https://huggingface.co/HMEXBI/bert_base_cased_MultiClass) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9806
+- Accuracy: 0.8101
+
+## 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: 8
+- eval_batch_size: 32
+- 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 | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.1396        | 1.0   | 545  | 0.9023          | 0.7615   |
+| 0.6961        | 2.0   | 1090 | 0.8074          | 0.7798   |
+| 0.492         | 3.0   | 1635 | 0.8216          | 0.8009   |
+| 0.3032        | 4.0   | 2180 | 0.9264          | 0.8018   |
+| 0.1898        | 5.0   | 2725 | 0.9806          | 0.8101   |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.10.0
+- Tokenizers 0.13.2