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uplimit-project-3-mistral7b

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the scitldr dataset. It achieves the following results on the evaluation set:

  • Loss: 4.3280

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: 0.001
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 2
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss
2.8989 0.2 200 2.8317
3.0908 0.4 400 3.2010
3.7518 0.6 600 3.9583
4.275 0.8 800 4.3280

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.6
  • Tokenizers 0.14.1
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