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buffettgpt-ft

This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2554

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: 42
  • 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: 2
  • num_epochs: 15
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
1.828 1.0 66 1.2278
1.0948 2.0 132 1.0691
0.9567 3.0 198 1.0193
0.8749 4.0 264 0.9978
0.8046 5.0 330 0.9876
0.7429 6.0 396 0.9978
0.6911 7.0 462 1.0185
0.6456 8.0 528 1.0300
0.6068 9.0 594 1.0749
0.5747 10.0 660 1.1074
0.5475 11.0 726 1.1306
0.5258 12.0 792 1.1687
0.505 13.0 858 1.2040
0.4917 14.0 924 1.2410
0.4829 15.0 990 1.2554

Framework versions

  • PEFT 0.11.1
  • Transformers 4.39.3
  • Pytorch 2.1.0+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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