Qwen-1.8B
This model is a fine-tuned version of Qwen1.5-1.8B-Chat on the essay_dataset 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: 0.0005
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 8.0
Training results
Framework versions
- PEFT 0.7.1
- Transformers 4.37.2
- Pytorch 1.13.1+cu116
- Datasets 2.14.7
- Tokenizers 0.15.1
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Qwen/Qwen1.5-1.8B-Chat