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update model card README.md

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+ ---
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+ base_model: vinai/phobert-base
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: checkpoint
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # checkpoint
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+
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+ This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.1674
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+ - Accuracy: 0.4286
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.01
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+ - num_epochs: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 7 | 1.3602 | 0.5714 |
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+ | No log | 2.0 | 14 | 1.3269 | 0.5714 |
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+ | No log | 3.0 | 21 | 1.2438 | 0.2857 |
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+ | No log | 4.0 | 28 | 1.1971 | 0.4286 |
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+ | No log | 5.0 | 35 | 1.2036 | 0.2857 |
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+ | No log | 6.0 | 42 | 1.1996 | 0.2857 |
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+ | No log | 7.0 | 49 | 1.1651 | 0.4286 |
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+ | No log | 8.0 | 56 | 1.1406 | 0.4286 |
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+ | No log | 9.0 | 63 | 1.1620 | 0.4286 |
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+ | No log | 10.0 | 70 | 1.1674 | 0.4286 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.31.0
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+ - Pytorch 2.0.0
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+ - Datasets 2.1.0
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+ - Tokenizers 0.13.3