electricidad-sentiment-model
This model is a fine-tuned version of mrm8488/electricidad-base-finetuned-muchocine on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2046
- Accuracy: 0.9440
- F1: 0.9420
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.2578 | 1.0 | 1316 | 0.2057 | 0.9324 | 0.9329 |
| 0.1586 | 2.0 | 2632 | 0.2046 | 0.9440 | 0.9420 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3