README.md

metadata

base_model: meta-llama/Llama-3.2-1B-Instruct
datasets:
  - generator
library_name: peft
license: llama3.2
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: Llama-3.2-1B-Indonesian
    results: []

Llama-3.2-1B-Indonesian

This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct 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: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 6
• total_train_batch_size: 6
• optimizer: Use 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: 3
• mixed_precision_training: Native AMP

Training results

Framework versions

• PEFT 0.7.2.dev0
• Transformers 4.46.1
• Pytorch 2.4.0+cu121
• Datasets 2.16.1
• Tokenizers 0.20.1