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--- |
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license: apache-2.0 |
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base_model: bert-base-cased |
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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_Bert_based_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_Bert_based_Model |
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1041 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.789 | 0.5 | 500 | 0.7731 | |
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| 0.7064 | 1.0 | 1000 | 0.6793 | |
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| 0.6037 | 1.5 | 1500 | 0.6661 | |
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| 0.5897 | 2.0 | 2000 | 0.6164 | |
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| 0.4497 | 2.5 | 2500 | 0.8513 | |
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| 0.4295 | 3.0 | 3000 | 0.6836 | |
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| 0.3337 | 3.5 | 3500 | 1.1529 | |
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| 0.3251 | 4.0 | 4000 | 1.1266 | |
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| 0.2286 | 4.5 | 4500 | 1.3798 | |
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| 0.2083 | 5.0 | 5000 | 1.3455 | |
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| 0.1236 | 5.5 | 5500 | 1.6604 | |
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| 0.1606 | 6.0 | 6000 | 1.5804 | |
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| 0.0891 | 6.5 | 6500 | 1.7849 | |
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| 0.0938 | 7.0 | 7000 | 1.8743 | |
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| 0.0704 | 7.5 | 7500 | 1.8484 | |
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| 0.0636 | 8.0 | 8000 | 1.9332 | |
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| 0.0439 | 8.5 | 8500 | 1.9970 | |
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| 0.0312 | 9.0 | 9000 | 2.0451 | |
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| 0.0337 | 9.5 | 9500 | 2.1142 | |
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| 0.0219 | 10.0 | 10000 | 2.1041 | |
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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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