update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: VLUE_pretrained-finetuned-vsmec
+  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. -->
+
+# VLUE_pretrained-finetuned-vsmec
+
+This model is a fine-tuned version of [ThuanPhong/VLUE_pretrained](https://huggingface.co/ThuanPhong/VLUE_pretrained) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2474
+- Accuracy: 0.6647
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- 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 | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 347  | 1.0436          | 0.6312   |
+| 1.1322        | 2.0   | 694  | 0.9662          | 0.6370   |
+| 0.6705        | 3.0   | 1041 | 1.0870          | 0.6385   |
+| 0.6705        | 4.0   | 1388 | 1.2474          | 0.6647   |
+| 0.3498        | 5.0   | 1735 | 1.4678          | 0.6327   |
+| 0.1686        | 6.0   | 2082 | 1.5225          | 0.6399   |
+
+
+### Framework versions
+
+- Transformers 4.28.0
+- Pytorch 2.0.0+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3