Mistral_doctor_SFT_v_lr1e7_steps1000

This model is a fine-tuned version of mistralai/Ministral-8B-Instruct-2410 on an unknown dataset.

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: 1e-07
• train_batch_size: 2
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 4
• optimizer: Use adafactor and the args are: No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 100
• training_steps: 1000

Training results

Framework versions

• Transformers 4.53.0
• Pytorch 2.1.2+cu121
• Datasets 3.6.0
• Tokenizers 0.21.2