README.md

metadata

base_model: mistralai/Mistral-7B-Instruct-v0.2
datasets:
  - generator
library_name: peft
license: apache-2.0
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: leagaleasy-mistral-7b-instruct-v0.2-v1
    results: []

leagaleasy-mistral-7b-instruct-v0.2-v1

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.

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: 2
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 4
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: constant
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Framework versions

• PEFT 0.13.1.dev0
• Transformers 4.46.0.dev0
• Pytorch 2.4.1
• Datasets 3.0.1
• Tokenizers 0.20.0