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--- |
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license: mit |
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base_model: roberta-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Covid_Vaccine_Sentiment_Analysis_Roberta_Model |
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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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# Covid_Vaccine_Sentiment_Analysis_Roberta_Model |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7021 |
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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: 8 |
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- eval_batch_size: 8 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.7933 | 0.5 | 500 | 0.7141 | |
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| 0.7869 | 1.0 | 1000 | 0.7627 | |
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| 0.7325 | 1.5 | 1500 | 0.6917 | |
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| 0.7292 | 2.0 | 2000 | 0.6866 | |
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| 0.6861 | 2.5 | 2500 | 0.7174 | |
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| 0.68 | 3.0 | 3000 | 0.6940 | |
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| 0.622 | 3.5 | 3500 | 0.6869 | |
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| 0.6278 | 4.0 | 4000 | 0.7009 | |
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| 0.5631 | 4.5 | 4500 | 0.7326 | |
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| 0.5589 | 5.0 | 5000 | 0.7021 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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