Sauron0019/Gemma-3-12B-TagPrediction-Top5-Editorial
05
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train_2025-05-14-10-29-44
This model is a fine-tuned version of google/gemma-3-12b-it on the top5training_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: 2e-05
- trainbatchsize: 5
- evalbatchsize: 8
- seed: 42
- gradientaccumulationsteps: 5
- totaltrainbatch_size: 25
- optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
- lrschedulertype: cosinewithrestarts
- lrschedulerwarmup_steps: 150
- num_epochs: 4.0
- labelsmoothingfactor: 0.05
Training results
Framework versions
- PEFT 0.15.1
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
