metadata
library_name: transformers
base_model: dccuchile/albert-base-spanish
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mi-super-modelo
results: []
mi-super-modelo
This model is a fine-tuned version of dccuchile/albert-base-spanish on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5146
- Accuracy: 0.38
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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.7601 | 0.0455 | 2 | 1.7148 | 0.3333 |
| 1.7063 | 0.0909 | 4 | 1.6888 | 0.3 |
| 1.5512 | 0.1364 | 6 | 1.6585 | 0.2933 |
| 1.5312 | 0.1818 | 8 | 1.6514 | 0.3 |
| 1.5006 | 0.2273 | 10 | 1.6581 | 0.3 |
| 1.6519 | 0.2727 | 12 | 1.6511 | 0.3067 |
| 1.6397 | 0.3182 | 14 | 1.6347 | 0.3 |
| 1.5275 | 0.3636 | 16 | 1.6183 | 0.3067 |
| 1.8253 | 0.4091 | 18 | 1.5949 | 0.3 |
| 1.7725 | 0.4545 | 20 | 1.5708 | 0.3 |
| 1.5334 | 0.5 | 22 | 1.5591 | 0.3067 |
| 1.3062 | 0.5455 | 24 | 1.5535 | 0.3133 |
| 1.4629 | 0.5909 | 26 | 1.5459 | 0.32 |
| 1.5431 | 0.6364 | 28 | 1.5408 | 0.3333 |
| 1.62 | 0.6818 | 30 | 1.5355 | 0.36 |
| 1.4165 | 0.7273 | 32 | 1.5299 | 0.36 |
| 1.6135 | 0.7727 | 34 | 1.5244 | 0.3733 |
| 1.5181 | 0.8182 | 36 | 1.5220 | 0.3733 |
| 1.3877 | 0.8636 | 38 | 1.5196 | 0.3733 |
| 1.6638 | 0.9091 | 40 | 1.5174 | 0.3733 |
| 1.4348 | 0.9545 | 42 | 1.5154 | 0.38 |
| 1.4226 | 1.0 | 44 | 1.5146 | 0.38 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0
- Datasets 3.1.0
- Tokenizers 0.20.1