metadata
library_name: transformers
base_model: HuggingFaceTB/SmolVLM-500M-Base
tags:
- generated_from_trainer
model-index:
- name: SmolVLM-500M-Base-vqav2
results: []
SmolVLM-500M-Base-vqav2
This model is a fine-tuned version of HuggingFaceTB/SmolVLM-500M-Base 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: 8
- eval_batch_size: 8
- seed: 42
- 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: 25
- num_epochs: 5
Framework versions
- Transformers 4.49.0
- Pytorch 2.4.1+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1