README.md

metadata

library_name: transformers
license: other
base_model: mistralai/Mistral-7B-v0.3
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: oh-mistral-bs1024_lr2.00E-06_schedulerconstant_warmup1.00E-01_minlr
    results: []

oh-mistral-bs1024_lr2.00E-06_schedulerconstant_warmup1.00E-01_minlr

This model is a fine-tuned version of mistralai/Mistral-7B-v0.3 on the mlfoundations-dev/oh-dcft-v3.1-gpt-4o-mini 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: 2e-06
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 64
• gradient_accumulation_steps: 2
• total_train_batch_size: 1024
• total_eval_batch_size: 512
• optimizer: Use adamw_torch 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: 0.1
• num_epochs: 3.0

Training results

Framework versions

• Transformers 4.46.1
• Pytorch 2.5.0a0+b465a5843b.nv24.09
• Datasets 3.0.2
• Tokenizers 0.20.3