finetune_colpali_smjain

smjain/finetune_colpali_smjain

finetune_colpali_smjain is a machine learning model from smjain. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as gemma.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

Access

Public

Updated Oct 8, 2024

Repo size

157 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors157 MB · 100%

At a glance

Library: transformers
License: gemma
Access: Public
Created: Oct 8, 2024
Updated: Oct 8, 2024
SHA: a570e01f

Base models

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

Model card

From the Hugging Face model README

finetune_colpali_smjain

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

Loss: 0.0593
Model Preparation Time: 0.0059

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
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	0.0093	1	0.0659	0.0059
0.1062	0.9346	100	0.0593	0.0059

Framework versions

Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0

Library: transformers
License: gemma
Created: Oct 8, 2024
Updated: Oct 8, 2024