---
license: other
library_name: peft
tags:
- lora
- generated_from_trainer
base_model: Qwen/Qwen1.5-1.8B-Chat
model-index:
- name: Qwen/Qwen1.5-1.8B-Chat
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# Qwen-1.8B

This model is a fine-tuned version of [Qwen1.5-1.8B-Chat](https://huggingface.co./Qwen/Qwen1.5-1.8B-Chat) on the essay_dataset 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: 0.0005
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 8.0

### Training results



### Framework versions

- PEFT 0.7.1
- Transformers 4.37.2
- Pytorch 1.13.1+cu116
- Datasets 2.14.7
- Tokenizers 0.15.1