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SmolVLM-Base-smolvlmf_car_quality_2e_l8
DamianBoborzi/SmolVLM-Base-smolvlmf_car_quality_2e_l8
SmolVLM-Base-smolvlmf_car_quality_2e_l8 is a machine learning model from DamianBoborzi. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jun 1, 2025
- Updated
- Jun 1, 2025
- SHA
- 5d8e3f00
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
SmolVLM-Base-smolvlmf_car_quality_2e_l8
This model is a fine-tuned version of HuggingFaceTB/SmolVLM-Base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0035
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: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH 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: 150
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7689 | 0.1 | 30 | 0.6595 |
| 0.1321 | 0.2 | 60 | 0.0555 |
| 0.0074 | 0.3 | 90 | 0.0069 |
| 0.005 | 0.4 | 120 | 0.0055 |
| 0.0044 | 0.5 | 150 | 0.0053 |
| 0.0037 | 0.6 | 180 | 0.0044 |
| 0.0044 | 0.7 | 210 | 0.0043 |
| 0.003 | 0.8 | 240 | 0.0038 |
| 0.0034 | 0.9 | 270 | 0.0039 |
| 0.0041 | 1.0 | 300 | 0.0038 |
| 0.0034 | 1.1 | 330 | 0.0044 |
| 0.0031 | 1.2 | 360 | 0.0045 |
| 0.0036 | 1.3 | 390 | 0.0039 |
| 0.0029 | 1.4 | 420 | 0.0039 |
| 0.0033 | 1.5 | 450 | 0.0038 |
| 0.003 | 1.6 | 480 | 0.0034 |
| 0.0029 | 1.7 | 510 | 0.0033 |
| 0.0028 | 1.8 | 540 | 0.0034 |
| 0.0026 | 1.9 | 570 | 0.0034 |
| 0.0028 | 2.0 | 600 | 0.0035 |
Framework versions
- PEFT 0.15.2
- Transformers 4.52.3
- Pytorch 2.6.0
- Datasets 3.6.0
- Tokenizers 0.21.1
- Library
- peft
- License
- apache-2.0
- Created
- Jun 1, 2025
- Updated
- Jun 1, 2025