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--- |
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license: mit |
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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: covid-twitter-bert-v2-no_description-stance-loss-hyp |
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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-twitter-bert-v2-no_description-stance-loss-hyp |
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This model is a fine-tuned version of [digitalepidemiologylab/covid-twitter-bert-v2](https://huggingface.co/digitalepidemiologylab/covid-twitter-bert-v2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6202 |
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- Accuracy: 0.0829 |
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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: 1.4275469935864394e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 40 |
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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: 4 |
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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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| 0.8211 | 1.0 | 632 | 0.6258 | 0.1153 | |
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| 0.5742 | 2.0 | 1264 | 0.6202 | 0.0829 | |
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| 0.4456 | 3.0 | 1896 | 0.6340 | 0.0627 | |
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| 0.2163 | 4.0 | 2528 | 0.7645 | 0.0470 | |
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### Framework versions |
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- Transformers 4.19.2 |
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- Pytorch 1.11.0+cu102 |
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- Datasets 2.2.1 |
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- Tokenizers 0.12.1 |
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