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f1f94782-3250-48b7-81d5-f8abf729d1b2

This model is a fine-tuned version of unsloth/mistral-7b-instruct-v0.2 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7291

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: 0.000204
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 50
  • training_steps: 500

Training results

Training Loss Epoch Step Validation Loss
No log 0.0002 1 0.7619
1.6878 0.0099 50 0.5599
2.0553 0.0198 100 0.7324
2.3037 0.0296 150 0.7312
2.454 0.0395 200 0.7291

Framework versions

  • PEFT 0.13.2
  • Transformers 4.46.0
  • Pytorch 2.5.0+cu124
  • Datasets 3.0.1
  • Tokenizers 0.20.1
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