README.md

metadata

library_name: peft
license: llama3.2
base_model: meta-llama/Llama-3.2-1B
tags:
  - generated_from_trainer
model-index:
  - name: ytsum_llama3.2
    results: []
datasets:
  - knkarthick/dialogsum

ytsum_llama3.2

This model is a fine-tuned version of meta-llama/Llama-3.2-1B on an unknown 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: 0.001
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• training_steps: 1

Training results

Framework versions

• PEFT 0.7.2.dev0
• Transformers 4.48.0.dev0
• Pytorch 2.1.1+cu118
• Datasets 2.16.0
• Tokenizers 0.21.0