emotions_model
This model is a fine-tuned version of pysentimiento/robertuito-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2551
- F1: 0.8050
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 108 | 0.3209 | 0.7722 |
| No log | 2.0 | 216 | 0.2645 | 0.8009 |
| No log | 3.0 | 324 | 0.2551 | 0.8050 |
Framework versions
- Transformers 4.28.1
- Pytorch 1.13.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3