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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: 2.1070 |
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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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| 0.7469 | 0.5 | 500 | 0.7283 | |
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| 0.691 | 1.0 | 1000 | 0.6457 | |
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| 0.5828 | 1.5 | 1500 | 0.6741 | |
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| 0.5723 | 2.0 | 2000 | 0.6179 | |
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| 0.4145 | 2.5 | 2500 | 0.8410 | |
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| 0.4044 | 3.0 | 3000 | 0.7809 | |
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| 0.2592 | 3.5 | 3500 | 1.1192 | |
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| 0.2932 | 4.0 | 4000 | 1.2706 | |
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| 0.162 | 4.5 | 4500 | 1.3559 | |
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| 0.1846 | 5.0 | 5000 | 1.2930 | |
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| 0.0975 | 5.5 | 5500 | 1.4937 | |
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| 0.1228 | 6.0 | 6000 | 1.5674 | |
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| 0.0718 | 6.5 | 6500 | 1.6709 | |
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| 0.068 | 7.0 | 7000 | 1.8645 | |
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| 0.0478 | 7.5 | 7500 | 2.0231 | |
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| 0.0504 | 8.0 | 8000 | 1.8383 | |
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| 0.0245 | 8.5 | 8500 | 2.0527 | |
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| 0.0366 | 9.0 | 9000 | 2.0015 | |
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| 0.0197 | 9.5 | 9500 | 2.1190 | |
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| 0.0147 | 10.0 | 10000 | 2.1070 | |
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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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