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covid-augment-tweet-bert-large-e2-v2
This model is a fine-tuned version of digitalepidemiologylab/covid-twitter-bert on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2513
- Accuracy: 0.9639
- F1: 0.9051
- Precision: 0.8870
- Recall: 0.9239
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.0495 | 1.0 | 1023 | 0.2682 | 0.9600 | 0.8920 | 0.8982 | 0.8858 |
| 0.0135 | 2.0 | 2046 | 0.2513 | 0.9639 | 0.9051 | 0.8870 | 0.9239 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
