Sentimiento-appmovilesPG
This model is a fine-tuned version of pysentimiento/robertuito-sentiment-analysis on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3058
- Accuracy: 0.9367
- F1: 0.8364
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 332 | 0.3105 | 0.9217 | 0.8297 |
| 0.3353 | 2.0 | 664 | 0.3109 | 0.9367 | 0.8362 |
| 0.3353 | 3.0 | 996 | 0.3058 | 0.9367 | 0.8364 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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Model tree for misaza/Sentimiento-appmovilesPG
Base model
pysentimiento/robertuito-sentiment-analysis