README.md

metadata

library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-1B
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: llama-3.2-1B-4096-sample-2-22GB
    results: []

llama-3.2-1B-4096-sample-2-22GB

This model is a fine-tuned version of meta-llama/Llama-3.2-1B on the sample_2 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: 4e-05
• train_batch_size: 9
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 8
• total_train_batch_size: 576
• 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: 0.01
• num_epochs: 1.0

Training results

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1