README.md

metadata

library_name: transformers
license: llama3
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
tags:
  - alignment-handbook
  - generated_from_trainer
datasets:
  - simonycl/Meta-Llama-3.1-8B-Instruct_ultrafeedback_iter_2_rm_annotate
model-index:
  - name: llama-3.1-8b-instruct-armorm-judge-iter2
    results: []

llama-3.1-8b-instruct-armorm-judge-iter2

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the simonycl/Meta-Llama-3.1-8B-Instruct_ultrafeedback_iter_2_rm_annotate 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: 5e-07
• train_batch_size: 1
• eval_batch_size: 2
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 32
• total_train_batch_size: 128
• total_eval_batch_size: 8
• 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

Training results

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1