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mistral-24b_sft_alpaca_gpt4_lora_adapter

PEFT
Safetensors
llama-factory
lora
Generated from Trainer
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mistral-24b_sft_alpaca_gpt4_lora_adapter / README.md
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metadata
library_name: peft
license: other
base_model: mistralai/Mistral-Small-24B-Base-2501
tags:
  - llama-factory
  - lora
  - generated_from_trainer
model-index:
  - name: mistral-24b_sft_alpaca_gpt4
    results: []

mistral-24b_sft_alpaca_gpt4

This model is a fine-tuned version of mistralai/Mistral-Small-24B-Base-2501 on the alpaca_gpt4 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: 0.0001
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • total_train_batch_size: 16
  • total_eval_batch_size: 32
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 1.0
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • PEFT 0.12.0
  • Transformers 4.46.1
  • Pytorch 2.5.1+cu124
  • Datasets 3.1.0
  • Tokenizers 0.20.3