Edit model card

train_2024-03-31-14-36-00-superzj

This model is a fine-tuned version of Qwen1.5-0.5B on the superzj 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-05
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 10.0

Training results

Framework versions

  • Transformers 4.38.2

  • Pytorch 1.13.1+cu116

  • Datasets 2.14.6

  • Tokenizers 0.15.2

    全量微调,使用语料来自小说--重生之超级战舰
    Fully fine-tuned, using corpus from the novel - Rebirth of the Super Battleship
    
Downloads last month
6
Safetensors
Model size
464M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.