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bert_adaptation_martin_fierro
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.5778
 
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: 56
 - eval_batch_size: 56
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 5
 
Training results
| Training Loss | Epoch | Step | Validation Loss | 
|---|---|---|---|
| 5.6479 | 1.0 | 34 | 5.2869 | 
| 4.7467 | 2.0 | 68 | 4.4441 | 
| 4.6852 | 3.0 | 102 | 4.5856 | 
| 4.3742 | 4.0 | 136 | 4.4072 | 
| 4.3619 | 5.0 | 170 | 4.6065 | 
Framework versions
- Transformers 4.33.1
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.5
 - Tokenizers 0.13.3