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