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metadata
base_model: mistralai/Mistral-7B-Instruct-v0.1
datasets:
  - generator
library_name: peft
license: apache-2.0
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: mistral-aws-case-studies-blogs
    results: []

mistral-aws-case-studies-blogs

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

  • Loss: 1.6718

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: 0.0002
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • training_steps: 100

Training results

Training Loss Epoch Step Validation Loss
1.8733 0.0985 20 1.8334
1.7728 0.1970 40 1.7412
1.7035 0.2956 60 1.7064
1.6887 0.3941 80 1.6871
1.6354 0.4926 100 1.6718

Framework versions

  • PEFT 0.11.1
  • Transformers 4.42.4
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1