README.md

metadata

library_name: peft
license: other
base_model: Qwen/Qwen2.5-7B-Instruct
tags:
  - llama-factory
  - lora
  - generated_from_trainer
language:
  - zho
  - eng
  - fra
  - spa
  - por
  - deu
  - ita
  - rus
  - jpn
  - kor
  - vie
  - tha
  - ara
model-index:
  - name: qwen_output_v3
    results: []

qwen_output_v3

This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on the final_modified_script 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: 5e-06
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 100
• num_epochs: 30.0

Training results

Framework versions

• PEFT 0.12.0
• Transformers 4.48.3
• Pytorch 2.1.0+cu118
• Datasets 3.2.0
• Tokenizers 0.21.0