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bertweet-covid19-base-uncased-finetuned-group_2
This model is a fine-tuned version of vinai/bertweet-covid19-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0149
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.5725 | 1.0 | 89 | 2.1218 |
| 2.1664 | 2.0 | 178 | 2.0290 |
| 2.1154 | 3.0 | 267 | 1.9471 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.2
- Tokenizers 0.12.1
