README.md

metadata

license: mit
base_model: TIGER-Lab/MAmmoTH2-8B-Plus
tags:
  - llama-factory
  - full
  - trl
  - dpo
  - llama-factory
  - generated_from_trainer
model-index:
  - name: ma-fulldponew-full-z3-0.08-2e-6-0.01
    results: []

ma-fulldponew-full-z3-0.08-2e-6-0.01

This model is a fine-tuned version of TIGER-Lab/MAmmoTH2-8B-Plus on the newfull-dpo-all 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: 1
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 16
• total_train_batch_size: 128
• total_eval_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 1.0

Training results

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.18.0
• Tokenizers 0.19.1