AeonOmniverse/SmolVLMEx01
02
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SmolVLMEx01
This model is a fine-tuned version of HuggingFaceTB/SmolVLM-Instruct on an unknown 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: 1
- evalbatchsize: 8
- seed: 42
- gradientaccumulationsteps: 8
- totaltrainbatch_size: 8
- optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lrschedulertype: constant
- lrschedulerwarmup_ratio: 0.03
- num_epochs: 3
Training results
Framework versions
- PEFT 0.15.2
- Transformers 4.52.1
- Pytorch 2.5.1+cu121
- Datasets 3.5.1
- Tokenizers 0.21.1
