metadata
tags:
- generated_from_trainer
model-index:
- name: distillbert-base-spanish-uncased-finetuned-spanish-corpus
results: []
widget:
- text: Quiero comer un [MASK]
distillbert-base-spanish-uncased-finetuned-spanish-corpus
This model is a fine-tuned version of CenIA/distillbert-base-spanish-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.7946
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.3776 | 1.0 | 56 | 3.7218 |
| 3.3814 | 2.0 | 112 | 3.7694 |
| 3.3348 | 3.0 | 168 | 3.7389 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2