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--- |
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base_model: vinai/bertweet-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: BERTweet |
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results: [] |
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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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# BERTweet |
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This model is a fine-tuned version of [vinai/bertweet-base](https://huggingface.co/vinai/bertweet-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2787 |
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- Accuracy: 0.9025 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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: 16 |
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- eval_batch_size: 64 |
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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_steps: 500 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:------:|:----:|:---------------:|:--------:| |
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| 0.6 | 0.0994 | 47 | 0.5233 | 0.7661 | |
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| 0.4809 | 0.1987 | 94 | 0.5148 | 0.7661 | |
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| 0.4065 | 0.2981 | 141 | 0.4387 | 0.8373 | |
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| 0.4104 | 0.3975 | 188 | 0.4005 | 0.8553 | |
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| 0.3518 | 0.4968 | 235 | 0.4069 | 0.8508 | |
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| 0.3192 | 0.5962 | 282 | 0.3263 | 0.8883 | |
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| 0.372 | 0.6956 | 329 | 0.3642 | 0.8816 | |
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| 0.3068 | 0.7949 | 376 | 0.3216 | 0.9003 | |
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| 0.3238 | 0.8943 | 423 | 0.2972 | 0.9010 | |
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| 0.3152 | 0.9937 | 470 | 0.2787 | 0.9025 | |
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### Framework versions |
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- Transformers 4.40.0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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