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PerspectrumInstruct-Baseline-R_32-Alpha_64_Batch_4-Step_50-FT-Unsloth_Mistral7B

This model is a fine-tuned version of unsloth/mistral-7b-instruct-v0.2-bnb-4bit on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0508

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: 4
  • eval_batch_size: 4
  • seed: 3407
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 5
  • training_steps: 50

Training results

Training Loss Epoch Step Validation Loss
1.4996 0.0719 20 1.1235
1.0737 0.1438 40 1.0508

Framework versions

  • PEFT 0.12.0
  • Transformers 4.44.0
  • Pytorch 2.3.0+cu118
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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