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Mistral-7B-Instruct-v0.2-finetune-SWE_90_10

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Mistral-7B-Instruct-v0.2-finetune-SWE_90_10 / README.md
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Training with 90/10 dataset, 5 epochs, 2 Batch Size
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metadata
license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.2
model-index:
  - name: Mistral-7B-Instruct-v0.2-finetune-SWE_90_10
    results: []

Mistral-7B-Instruct-v0.2-finetune-SWE_90_10

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.1233

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: 0.0001
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
1.4939 0.9995 1847 0.9488
0.7585 1.9989 3694 0.8857
0.4374 2.9984 5541 0.9555
0.2946 3.9978 7388 1.0790
0.2287 4.9973 9235 1.1233

Framework versions

  • PEFT 0.10.0
  • Transformers 4.40.1
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1