chengyili2005/SmolLM2-1.7B-InfoRAG
013
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SmolLM2-1.7B InfoRag - Chengyi Li
This model is a fine-tuned version of unsloth/SmolLM2-1.7B on the psgs_w100 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: 1e-05
- trainbatchsize: 2
- evalbatchsize: 8
- seed: 0
- gradientaccumulationsteps: 8
- totaltrainbatch_size: 16
- optimizer: Use OptimizerNames.PAGEDADAMW8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lrschedulertype: linear
- lrschedulerwarmup_steps: 500
- training_steps: 5000
Training results
Framework versions
- PEFT 0.18.1
- Transformers 4.57.6
- Pytorch 2.10.0+cu128
- Datasets 4.3.0
- Tokenizers 0.22.2
