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finetune_colpali_v1_3-ownep3
gajanhcc/finetune_colpali_v1_3-ownep3
finetune_colpali_v1_3-ownep3 is a machine learning model from gajanhcc. 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. --
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Public
Updated Mar 19, 2025
Repo size
192 MB
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At a glance
- Library
- transformers
- License
- gemma
- Access
- Public
- Created
- Mar 19, 2025
- Updated
- Mar 19, 2025
- SHA
- 0ec6b784
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. -->
finetune_colpali_v1_3-ownep3
This model is a fine-tuned version of vidore/colpaligemma-3b-pt-448-base on the gajanhcc/fashion-query-dataset-10samples dataset. It achieves the following results on the evaluation set:
- Loss: 0.0014
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- 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: 100
- num_epochs: 1.5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.01 | 1 | 0.0011 |
| 0.0 | 1.0 | 100 | 0.0014 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1
- Library
- transformers
- License
- gemma
- Created
- Mar 19, 2025
- Updated
- Mar 19, 2025