---
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
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ytsum_llama3.2

This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co./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