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Mistral-7B-v0.1_case-briefs

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: 1.1293

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: 3e-05
  • 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: constant
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 2.0

Training results

Training Loss Epoch Step Validation Loss
1.1008 0.34 50 1.1495
1.0662 0.68 100 1.1313
1.039 1.02 150 1.1258
1.0173 1.36 200 1.1321
1.0279 1.7 250 1.1293

Framework versions

  • PEFT 0.7.1
  • Transformers 4.37.2
  • Pytorch 2.1.2+cu121
  • Datasets 2.17.1
  • Tokenizers 0.15.1
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