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--- |
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library_name: transformers |
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license: mit |
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base_model: vidore/ColSmolVLM-Instruct-256M-base |
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tags: |
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- colpali |
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- generated_from_trainer |
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- https://ieeexplore.ieee.org/document/11157156 |
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model-index: |
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- name: IndoColSmol-256M |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# IndoColSmol-256M |
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This model is a fine-tuned version of [vidore/ColSmolVLM-Instruct-256M-base](https://huggingface.co/vidore/ColSmolVLM-Instruct-256M-base) on the ingenio/indodvqa_dataset dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3786 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| No log | 0.0099 | 1 | 0.4959 | |
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| 0.4991 | 0.3960 | 40 | 0.4319 | |
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| 0.4293 | 0.7921 | 80 | 0.3986 | |
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| 0.4 | 1.1881 | 120 | 0.3829 | |
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| 0.3653 | 1.5842 | 160 | 0.3788 | |
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| 0.3846 | 1.9802 | 200 | 0.3764 | |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.5.1 |
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- Tokenizers 0.21.1 |
