metadata
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: covid-twitter-bert-v2-no_description-stance-loss-hyp
results: []
covid-twitter-bert-v2-no_description-stance-loss-hyp
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: 0.6202
- Accuracy: 0.0829
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 |
|---|---|---|---|---|
| 0.8211 | 1.0 | 632 | 0.6258 | 0.1153 |
| 0.5742 | 2.0 | 1264 | 0.6202 | 0.0829 |
| 0.4456 | 3.0 | 1896 | 0.6340 | 0.0627 |
| 0.2163 | 4.0 | 2528 | 0.7645 | 0.0470 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu102
- Datasets 2.2.1
- Tokenizers 0.12.1