mistralAI_recetascocina
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3926
Model description
A partir del modelo Mistral7B se quiere realizar un ajustado para los datos de recetas de cocina colombianas.
Model instructions
La plantilla utilizada para llevar a cabo el Fine-Tuning esta configurada de la siguiente forma:
E.g.
prompt = '<s>[INST]'+context +'[/INST]'+ output + '</s>'"
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: 0.0003
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 1.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7198 | 0.36 | 200 | 1.5440 |
| 1.545 | 0.71 | 400 | 1.3926 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for guillergalre/mistralAI_recetascocina
Base model
mistralai/Mistral-7B-v0.1
Finetuned
mistralai/Mistral-7B-Instruct-v0.1