finetune_colpali_v1_2-ufo-4bit
This model is a fine-tuned version of vidore/colpaligemma-3b-pt-448-base on the davanstrien/ufo-ColPali dataset. It achieves the following results on the evaluation set:
- Loss: 0.1368
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: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 2
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 0.0041 | 1 | 0.7493 |
0.2096 | 0.8180 | 200 | 0.1816 |
0.0825 | 1.6360 | 400 | 0.1397 |
Framework versions
- PEFT 0.11.1
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
- Downloads last month
- 0
Model tree for davanstrien/finetune_colpali_v1_2-ufo-4bit
Base model
google/paligemma-3b-pt-448
Finetuned
vidore/colpaligemma-3b-pt-448-base
Adapter
this model