colpali_ufo / README.md
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---
library_name: peft
license: gemma
base_model: vidore/colpali-v1.2-hf
tags:
- generated_from_trainer
model-index:
- name: colpali_ufo
results: []
---
<!-- 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_ufo
This model is a fine-tuned version of [vidore/colpali-v1.2-hf](https://huggingface.co/vidore/colpali-v1.2-hf) on an unknown dataset.
## 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: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use 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
### Training results
### Framework versions
- PEFT 0.11.1
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 2.21.0
- Tokenizers 0.21.0