SmolVLM-500M-Instruct-fer0

This model is a fine-tuned version of HuggingFaceTB/SmolVLM-500M-Instruct on an unknown dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

• Step Training Loss

• 25 2.805400

• 50 0.817700

• 75 0.476000

• 100 0.428300

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.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

Inference sampels:

• SmolVLM: A woman with blonde hair is looking to the side with a hand on her chin.
• SmolVLMfer0: The expression conveys a sense of contemplation or concern. The furrowed brow and slightly parted lips suggest a deep thought or worry. The hand on the chin indicates a hint of introspection, hinting at a possible emotional state of unease or contemplation.

Framework versions

• Transformers 4.50.0
• Pytorch 2.3.1+cu121
• Datasets 3.6.0
• Tokenizers 0.21.1