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
1
Safetensors
Model size
464M params
Tensor type
F32
·
Invalid base_model specified in model card metadata. Needs to be a model id from hf.co/models.