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colpali-entrep-vi-demo
DyuHo/colpali-entrep-vi-demo
colpali-entrep-vi-demo is a machine learning model from DyuHo. 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 transformers. The card lists the license as gemma.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated May 28, 2025
Repo size
157 MB
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At a glance
- Library
- transformers
- License
- gemma
- Access
- Public
- Created
- May 28, 2025
- Updated
- May 28, 2025
- SHA
- 0c217d99
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. -->
colpali-entrep-vi-demo
This model is a fine-tuned version of vidore/colpaligemma-3b-pt-448-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7385
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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: 20
- num_epochs: 2.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0625 | 1 | 1.1798 |
| 3.291 | 1.25 | 20 | 0.7767 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Library
- transformers
- License
- gemma
- Created
- May 28, 2025
- Updated
- May 28, 2025