metadata
license: cc-by-4.0
tags:
- generated_from_trainer
base_model: bertin-project/bertin-roberta-base-spanish
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: my-model-Bertin-Sentimento
results: []
my-model-Bertin-Sentimento
This model is a fine-tuned version of bertin-project/bertin-roberta-base-spanish on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2665
- Accuracy: 0.9484
- F1: 0.8000
- Precision: 0.9412
- Recall: 0.6957
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.35 | 1.0 | 91 | 0.2157 | 0.8516 | 0.0 | 0.0 | 0.0 |
| 0.2706 | 2.0 | 182 | 0.4638 | 0.9097 | 0.5625 | 1.0 | 0.3913 |
| 0.136 | 3.0 | 273 | 0.6050 | 0.9032 | 0.5161 | 1.0 | 0.3478 |
| 0.0675 | 4.0 | 364 | 0.3015 | 0.9484 | 0.7895 | 1.0 | 0.6522 |
| 0.0154 | 5.0 | 455 | 0.2665 | 0.9484 | 0.8000 | 0.9412 | 0.6957 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1