metadata
tags:
- generated_from_trainer
base_model: dccuchile/distilbert-base-spanish-uncased
metrics:
- accuracy
model-index:
- name: Prototipo_4_EMI
results: []
Prototipo_4_EMI
This model is a fine-tuned version of dccuchile/distilbert-base-spanish-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0406
- Accuracy: 0.5567
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: 50
- eval_batch_size: 50
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.3118 | 0.3704 | 200 | 1.2660 | 0.4457 |
| 1.0828 | 0.7407 | 400 | 1.0757 | 0.5203 |
| 1.0145 | 1.1111 | 600 | 1.0380 | 0.534 |
| 0.9955 | 1.4815 | 800 | 1.0184 | 0.5377 |
| 0.9449 | 1.8519 | 1000 | 0.9944 | 0.5507 |
| 0.9143 | 2.2222 | 1200 | 1.0077 | 0.5533 |
| 0.8609 | 2.5926 | 1400 | 1.0104 | 0.5473 |
| 0.882 | 2.9630 | 1600 | 1.0037 | 0.5507 |
| 0.8049 | 3.3333 | 1800 | 1.0202 | 0.5593 |
| 0.8045 | 3.7037 | 2000 | 1.0234 | 0.5503 |
| 0.78 | 4.0741 | 2200 | 1.0280 | 0.5593 |
| 0.7651 | 4.4444 | 2400 | 1.0411 | 0.5583 |
| 0.7301 | 4.8148 | 2600 | 1.0406 | 0.5567 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1