metadata
license: mit
base_model: digitalepidemiologylab/covid-twitter-bert-v2
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: output
results: []
output
This model is a fine-tuned version of digitalepidemiologylab/covid-twitter-bert-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0995
- F1: 0.9843
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: 5e-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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.0127 | 1.0 | 321 | 0.0817 | 0.9781 |
| 0.0716 | 2.0 | 642 | 0.1124 | 0.9788 |
| 0.0716 | 3.0 | 963 | 0.0804 | 0.9843 |
| 0.0255 | 4.0 | 1284 | 0.1176 | 0.9820 |
| 0.008 | 5.0 | 1605 | 0.1065 | 0.9820 |
| 0.008 | 6.0 | 1926 | 0.0995 | 0.9843 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1