finetune_colpali_v1_2-swx-4bit

This model is a fine-tuned version of vidore/colpaligemma-3b-pt-448-base on the ManoharPalanisamy/swx-allpages-ColPali dataset. It achieves the following results on the evaluation set:

Loss: 0.0987
Model Preparation Time: 0.0048

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: 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	0.0183	1	0.1518	0.0048

Framework versions

Transformers 4.46.2
Pytorch 2.2.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3

Downloads last month: -; Downloads are not tracked for this model. How to track

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for ManoharPalanisamy/finetune_colpali_v1_2-swx-4bit

Base model

google/paligemma-3b-pt-448

Finetuned

vidore/colpaligemma-3b-pt-448-base

Finetuned

(47)

this model