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mistral-voyager-finetune

Text Generation
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mistral-voyager-finetune / README.md
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metadata
license: apache-2.0
base_model: Open-Orca/Mistral-7B-OpenOrca
tags:
  - generated_from_trainer
model-index:
  - name: mistral-voyager-finetune
    results: []

mistral-voyager-finetune

This model is a fine-tuned version of Open-Orca/Mistral-7B-OpenOrca on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1123

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: 1
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1
  • training_steps: 500

Training results

Training Loss Epoch Step Validation Loss
0.2728 0.48 100 0.1881
0.1854 0.95 200 0.1352
0.09 1.43 300 0.1251
0.0902 1.9 400 0.1121
0.062 2.38 500 0.1123

Framework versions

  • Transformers 4.36.0.dev0
  • Pytorch 2.1.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0