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mistral-journal-finetune

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metadata
license: apache-2.0
base_model: Open-Orca/Mistral-7B-OpenOrca
tags:
  - generated_from_trainer
model-index:
  - name: mistral-journal-finetune
    results: []

mistral-journal-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:

  • eval_loss: 2.0307
  • eval_runtime: 98.0084
  • eval_samples_per_second: 0.745
  • eval_steps_per_second: 0.102
  • epoch: 1.2
  • step: 175

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: 2
  • 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

Framework versions

  • Transformers 4.36.0.dev0
  • Pytorch 2.0.0
  • Datasets 2.14.6
  • Tokenizers 0.14.1