finetune_colpali_v1_2-vdsid_french-4bit

smjain/finetune_colpali_v1_2-vdsid_french-4bit

finetune_colpali_v1_2-vdsid_french-4bit 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 1, 2024

Repo size

157 MB

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Public

Hugging Face

Repo makeup

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.safetensors157 MB · 100%

At a glance

Library: transformers
License: gemma
Access: Public
Created: Oct 1, 2024
Updated: Oct 1, 2024
SHA: 3399ee2a

Base models

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

Model card

From the Hugging Face model README

finetune_colpali_v1_2-vdsid_french-4bit

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

Loss: 0.0193

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
No log	0.0034	1	0.0579
0.0093	0.3404	100	0.0258
0.0083	0.6809	200	0.0256
0.005	1.0213	300	0.0205
0.0083	1.3617	400	0.0193

Framework versions

Transformers 4.45.1
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0

Library: transformers
License: gemma
Created: Oct 1, 2024
Updated: Oct 1, 2024