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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](https://huggingface.co/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

{"tags": ["generated_from_trainer"], "base_model": "CenIA/distillbert-base-spanish-uncased", "model-index": [{"name": "distillbert-base-spanish-uncased_finetuned_with-Llama2-Knowledge-Distillation", "results": []}]}
transformers pytorch distilbert fill-mask generated_from_trainer base_model:CenIA/distillbert-base-spanish-uncased autotrain_compatible endpoints_compatible region:us