peft safetensors trl sft generated_from_trainer dataset:dialogstudio base_model:TencentARC/LLaMA-Pro-8B license:llama2 region:us
---
license: llama2
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- dialogstudio
base_model: TencentARC/LLaMA-Pro-8B
model-index:
- name: llama-pro-8b-tweet-summarization-gradnorm-0.3-warmupratio-0.05
  results: []
---

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# llama-pro-8b-tweet-summarization-gradnorm-0.3-warmupratio-0.05

This model is a fine-tuned version of [TencentARC/LLaMA-Pro-8B](https://huggingface.co/TencentARC/LLaMA-Pro-8B) on the dialogstudio 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 7
- mixed_precision_training: Native AMP

### Framework versions

- PEFT 0.8.2.dev0
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.2.dev0
- Tokenizers 0.15.1