README.md

metadata

base_model: Qwen/Qwen2.5-0.5B-Instruct
datasets:
  - generator
library_name: peft
license: apache-2.0
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: trained_models
    results: []

trained_models

This model is a fine-tuned version of Qwen/Qwen2.5-0.5B-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: 3
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 6
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 1

Training results

Framework versions

• PEFT 0.13.2
• Transformers 4.45.2
• Pytorch 2.2.1+cu121
• Datasets 3.0.1
• Tokenizers 0.20.1