metadata
library_name: peft
license: gemma
base_model: vidore/colpali-v1.2-hf
tags:
- generated_from_trainer
model-index:
- name: colpali_ufo
results: []
colpali_ufo
This model is a fine-tuned version of vidore/colpali-v1.2-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2246
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
- 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
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1345 | 0.1636 | 80 | 0.1962 |
| 0.0961 | 0.3272 | 160 | 0.2030 |
| 0.1106 | 0.4908 | 240 | 0.2065 |
| 0.1109 | 0.6544 | 320 | 0.2097 |
| 0.1074 | 0.8180 | 400 | 0.2170 |
| 0.1135 | 0.9816 | 480 | 0.2246 |
Framework versions
- PEFT 0.14.0
- Transformers 4.49.0
- Pytorch 2.3.0+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0