model_weights_7B/README.md

metadata

library_name: transformers
license: other
base_model: Qwen2.5-7B-Instruct
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: '2e-5'
    results: []

2e-5

This model is a fine-tuned version of /ailab/user/zhouhao1/LLaMA-Factory/src/Qwen2.5-7B-Instruct on the whole_data_v6 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: 2e-05
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• total_eval_batch_size: 64
• 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: 20
• num_epochs: 2.0

Training results

Framework versions

• Transformers 4.46.1
• Pytorch 2.4.0+cu118
• Datasets 3.0.2
• Tokenizers 0.20.1