Note: Please see the repository in huggingface instead!!!

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license: other library_name: peft tags:

• llama-factory
• lora
• generated_from_trainer base_model: mistralai/Mistral-7B-Instruct-v0.2 model-index:
• name: mistral-lora-bf16-epoch4 results: []

---

mistral-lora-bf16-epoch4

This model is a fine-tuned version of Mistral-7B-Instruct-v0.2 on the filtered_sampled_data_wo_sysprompt 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: 5e-05
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• total_eval_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 4.0

Training results

Framework versions

• PEFT 0.11.1
• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1