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--- |
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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-base_finetuned_olid_c |
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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-base_finetuned_olid_c |
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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: 0.7880 |
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- Accuracy: 0.7324 |
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- F1-macro: 0.6299 |
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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: 2e-05 |
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- train_batch_size: 64 |
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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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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1-macro | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:| |
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| 0.9373 | 1.0 | 61 | 0.8441 | 0.6948 | 0.5042 | |
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| 0.7817 | 2.0 | 122 | 0.8038 | 0.7230 | 0.5247 | |
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| 0.7258 | 3.0 | 183 | 0.7837 | 0.7324 | 0.5772 | |
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| 0.6596 | 4.0 | 244 | 0.7812 | 0.7371 | 0.6255 | |
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| 0.6247 | 5.0 | 305 | 0.7880 | 0.7324 | 0.6299 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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