yang29/gpt4-llm-cleaned-ft-qwen25-7b-sgdm_unbiased_galore-lr-1e-4-r128-l4-k200-seed42
09
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gpt4-llm-cleaned-ft-qwen25-7b-sgdmunbiasedgalore-lr-1e-4-r128-l4-k200-seed42
This model is a fine-tuned version of Qwen/Qwen2.5-7B on the customized 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: 0.0001
- trainbatchsize: 32
- evalbatchsize: 8
- seed: 42
- optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
- lrschedulertype: cosine
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.51.3
- Pytorch 2.7.0+cu126
- Datasets 3.5.1
- Tokenizers 0.21.1
