metadata
library_name: transformers
license: gemma
base_model: vidore/colpaligemma-3b-pt-448-base
tags:
- colpali
- generated_from_trainer
model-index:
- name: finetune_colpali_v1_2-vdsid_french-4bit
results: []
finetune_colpali_v1_2-vdsid_french-4bit
This model is a fine-tuned version of vidore/colpaligemma-3b-pt-448-base on the vidore/vdsid_french dataset. It achieves the following results on the evaluation set:
- Loss: 0.0212
- Model Preparation Time: 0.0144
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 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 | Model Preparation Time |
|---|---|---|---|---|
| No log | 0.0034 | 1 | 0.0571 | 0.0144 |
| 0.0397 | 0.3404 | 100 | 0.0247 | 0.0144 |
| 0.0195 | 0.6809 | 200 | 0.0266 | 0.0144 |
| 0.0098 | 1.0213 | 300 | 0.0240 | 0.0144 |
| 0.0299 | 1.3617 | 400 | 0.0223 | 0.0144 |
Framework versions
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.2
- Tokenizers 0.20.1