metadata
license: apache-2.0
base_model: VerificadoProfesional/SaBERT-Spanish-Sentiment-Analysis
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my-model-SaBERT-Area
results: []
my-model-SaBERT-Area
This model is a fine-tuned version of VerificadoProfesional/SaBERT-Spanish-Sentiment-Analysis on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5236
- Accuracy: 0.4173
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: 100
- eval_batch_size: 100
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.8312 | 1.0 | 7 | 1.7417 | 0.3022 |
| 1.6365 | 2.0 | 14 | 1.6915 | 0.3165 |
| 1.5135 | 3.0 | 21 | 1.6488 | 0.3525 |
| 1.3915 | 4.0 | 28 | 1.6102 | 0.3525 |
| 1.2707 | 5.0 | 35 | 1.5685 | 0.4173 |
| 1.1772 | 6.0 | 42 | 1.5384 | 0.4388 |
| 1.0696 | 7.0 | 49 | 1.5229 | 0.4245 |
| 0.9962 | 8.0 | 56 | 1.5187 | 0.4173 |
| 0.9411 | 9.0 | 63 | 1.5232 | 0.4317 |
| 0.9334 | 10.0 | 70 | 1.5236 | 0.4173 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1