my_awesome_model
This model is a fine-tuned version of boldirev-as/my_awesome_model on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3407
- F1: 0.8426
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.1741 | 1.0 | 46 | 0.3446 | 0.8415 |
| 0.2189 | 2.0 | 92 | 0.4004 | 0.8295 |
| 0.1928 | 3.0 | 138 | 0.3267 | 0.8334 |
| 0.2023 | 4.0 | 184 | 0.3392 | 0.8394 |
| 0.1443 | 5.0 | 230 | 0.3407 | 0.8426 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3