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-own
results: []
finetune_colpali_v1_2-own
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: 0.0004
- Model Preparation Time: 0.0063
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: 2
- 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: 50
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time |
|---|---|---|---|---|
| No log | 0.01 | 1 | 0.0104 | 0.0063 |
| 0.0028 | 0.5 | 50 | 0.0026 | 0.0063 |
| 0.0 | 1.0 | 100 | 0.0012 | 0.0063 |
| 0.0001 | 1.5 | 150 | 0.0009 | 0.0063 |
| 0.0049 | 2.0 | 200 | 0.0006 | 0.0063 |
| 0.0002 | 2.5 | 250 | 0.0004 | 0.0063 |
| 0.0 | 3.0 | 300 | 0.0004 | 0.0063 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1