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update model card README.md

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+ ---
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+ base_model: vinai/bertweet-large
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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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+ - f1
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+ - precision
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+ - recall
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+ model-index:
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+ - name: bertweet-large_epoch3_batch4_lr2e-05_w0.01
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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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+ # bertweet-large_epoch3_batch4_lr2e-05_w0.01
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+
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+ This model is a fine-tuned version of [vinai/bertweet-large](https://huggingface.co/vinai/bertweet-large) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5167
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+ - Accuracy: 0.9066
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+ - F1: 0.8768
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+ - Precision: 0.8617
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+ - Recall: 0.8925
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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: 2e-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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+ - num_epochs: 3
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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 | F1 | Precision | Recall |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 0.6423 | 1.0 | 788 | 0.4273 | 0.8966 | 0.8597 | 0.8689 | 0.8507 |
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+ | 0.4072 | 2.0 | 1576 | 0.5435 | 0.8910 | 0.8600 | 0.8247 | 0.8985 |
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+ | 0.2823 | 3.0 | 2364 | 0.5167 | 0.9066 | 0.8768 | 0.8617 | 0.8925 |
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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 2.0.1+cu118
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+ - Datasets 2.14.3
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+ - Tokenizers 0.13.3