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
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