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covid-twitter-bert-v2-no_description-stance-loss-hyp-unprocess2
This model is a fine-tuned version of digitalepidemiologylab/covid-twitter-bert-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5816
- Accuracy: 0.0901
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: 1.4275469935864394e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.8511 | 1.0 | 700 | 0.6372 | 0.1478 |
| 0.6146 | 2.0 | 1400 | 0.5816 | 0.0901 |
| 0.365 | 3.0 | 2100 | 0.6170 | 0.0749 |
| 0.2686 | 4.0 | 2800 | 0.7259 | 0.0688 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu102
- Datasets 2.2.1
- Tokenizers 0.12.1
