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sft-mistral-v1

This model is a fine-tuned version of kam414/pre-train-mistral-v2-full on the generator dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2212

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: 2
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_steps: 0.2
  • training_steps: 60

Training results

Training Loss Epoch Step Validation Loss
1.9676 0.5 10 1.4137
1.3178 1.0 20 1.2463
1.071 1.5 30 1.2405
1.0554 2.0 40 1.2212

Framework versions

  • PEFT 0.8.2
  • Transformers 4.37.2
  • Pytorch 2.2.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.1
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