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