build-small-hackathon/jawbreaker-minicpm5-1b-lora-v1
07
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jawbreaker-minicpm5-1b-lora-v1
This model is a fine-tuned version of openbmb/MiniCPM5-1B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0016
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: 2
- evalbatchsize: 2
- seed: 42
- gradientaccumulationsteps: 8
- totaltrainbatch_size: 16
- optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lrschedulertype: cosine
- lrschedulerwarmup_ratio: 0.05
- num_epochs: 3.0
Training results
Framework versions
- PEFT 0.19.1
- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 4.8.5
- Tokenizers 0.22.2