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Mistral-7B-Instruct-v0.2-mirage-gpt-4o-sft-instruct-mistral

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the nthakur/mirage-gpt-4o-sft-instruct-mistral dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2294

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: 0.0002
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • total_train_batch_size: 32
  • 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: 1

Training results

Training Loss Epoch Step Validation Loss
0.3189 0.2535 200 0.2828
0.2906 0.5070 400 0.2465
0.2525 0.7605 600 0.2326

Framework versions

  • PEFT 0.7.1
  • Transformers 4.41.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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Dataset used to train nthakur/Mistral-7B-Instruct-v0.2-mirage-gpt-4o-sft-instruct-mistral