batouln/qwen3-pii-lora_adapters
06
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outputs
This model is a fine-tuned version of silma-ai/SILMA-9B-Instruct-v1.0 on the None 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: 0.0002
- trainbatchsize: 2
- evalbatchsize: 8
- seed: 3407
- gradientaccumulationsteps: 4
- totaltrainbatch_size: 8
- optimizer: Use adamw8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
- lrschedulertype: linear
- lrschedulerwarmup_steps: 5
- training_steps: 700
Training results
Framework versions
- PEFT 0.16.0
- Transformers 4.53.2
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2