SmolVLM-256M-Instruct-ufo

This model is a fine-tuned version of HuggingFaceTB/SmolVLM-256M-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4310
• Model Preparation Time: 0.0054

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: 4
• seed: 42
• optimizer: Use paged_adamw_8bit 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

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time
0.6388	1.0	489	0.4310	0.0054

Framework versions

• Transformers 4.49.0
• Pytorch 2.2.1+cu121
• Datasets 3.3.1
• Tokenizers 0.21.0