metadata
license: cc-by-4.0
base_model: bertin-project/bertin-roberta-base-spanish
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my-model-Bertin-Area
results: []
my-model-Bertin-Area
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: 1.5347
- Accuracy: 0.3885
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 |
|---|---|---|---|---|
| 1.8826 | 1.0 | 7 | 1.7742 | 0.2590 |
| 1.6982 | 2.0 | 14 | 1.7521 | 0.2806 |
| 1.6317 | 3.0 | 21 | 1.6768 | 0.3022 |
| 1.5322 | 4.0 | 28 | 1.6329 | 0.3597 |
| 1.3803 | 5.0 | 35 | 1.6064 | 0.3597 |
| 1.2126 | 6.0 | 42 | 1.5785 | 0.3813 |
| 1.072 | 7.0 | 49 | 1.5532 | 0.3885 |
| 0.9604 | 8.0 | 56 | 1.5330 | 0.3885 |
| 0.876 | 9.0 | 63 | 1.5345 | 0.3957 |
| 0.8119 | 10.0 | 70 | 1.5347 | 0.3885 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1