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mistral-hummanize1

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3784

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: 2.5e-05
  • train_batch_size: 12
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 12
  • total_train_batch_size: 144
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 5
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss
1.4936 0.41 50 1.4588
1.434 0.83 100 1.4090
1.4032 1.24 150 1.3872
1.392 1.65 200 1.3784

Framework versions

  • PEFT 0.8.2
  • Transformers 4.38.0.dev0
  • Pytorch 2.2.0
  • Datasets 2.17.0
  • Tokenizers 0.15.2
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