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---
library_name: transformers
license: mit
base_model: vidore/colqwen2-base
tags:
- ColPali
- "\U0001F372 Tambouille"
- "Tambouille \U0001F372"
- generated_from_trainer
model-index:
- name: test_tambouille
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. -->
# test_tambouille
This model is a fine-tuned version of [vidore/colqwen2-base](https://huggingface.co/vidore/colqwen2-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.0650
- eval_model_preparation_time: 0.0048
- eval_runtime: 25.2861
- eval_samples_per_second: 2.373
- eval_steps_per_second: 0.593
- step: 0
## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 1
### Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0
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