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distillbert-base-spanish-uncased_finetuned_with-Llama2-Knowledge-Distillation
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: 3.3701
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: 3.571428571428572e-07
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.8547 | 1.0 | 8 | 3.5585 |
| 3.7087 | 2.0 | 16 | 3.7027 |
| 3.7771 | 3.0 | 24 | 3.8879 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
