metadata
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolVLM-Instruct
tags:
- generated_from_trainer
model-index:
- name: SmolVLM-Instruct-med-vqav1
results: []
SmolVLM-Instruct-med-vqav1
This model is a fine-tuned version of HuggingFaceTB/SmolVLM-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1712
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: 0.001
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3885 | 0.4454 | 100 | 0.2168 |
| 0.1862 | 0.8909 | 200 | 0.1728 |
| 0.1258 | 1.3341 | 300 | 0.1678 |
| 0.1131 | 1.7795 | 400 | 0.1615 |
| 0.0885 | 2.2227 | 500 | 0.1682 |
| 0.0656 | 2.6682 | 600 | 0.1712 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.0
- Tokenizers 0.21.0