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In adapter_config.json: "peft.task_type" must be a string
SmolVLM-4-Exp
This model is a fine-tuned version of HuggingFaceTB/SmolVLM-256M-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: 0.0001
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_HF with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 1
Training results
Framework versions
- PEFT 0.14.0
- Transformers 4.48.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Downloads last month
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Inference Providers
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This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The HF Inference API does not support image-text-to-text models for peft library.
Model tree for prithivMLmods/SmolVLM-4-Exp
Base model
HuggingFaceTB/SmolLM2-135M
Quantized
HuggingFaceTB/SmolLM2-135M-Instruct
Quantized
HuggingFaceTB/SmolVLM-256M-Instruct