Qwen1.5-7B-Chat_fictional_arc_challenge_Japanese_v1
This model is a fine-tuned version of Qwen/Qwen1.5-7B-Chat on the generator 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: 1
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 72
Training results
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for yzhuang/Qwen1.5-7B-Chat_fictional_arc_challenge_Japanese_v1
Base model
Qwen/Qwen1.5-7B-Chat