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svenbl80/
finetune_colpali_v1_2-german_ver3-4bit

Name: finetune_colpali_v1_2-german_ver3-4bit
Availability: InStock

transformers

safetensors

colpali

generated_from_trainer

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

finetune

gemma

endpoints_compatible

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finetune_colpali_v1_2-german_ver3-4bit

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

Loss: 0.0815
Model Preparation Time: 0.0061

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: 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time
No log	0.0146	1	0.3622	0.0061
1.6392	0.1460	10	0.3430	0.0061
1.1999	0.2920	20	0.3049	0.0061
1.2826	0.4380	30	0.2768	0.0061
0.7583	0.5839	40	0.2492	0.0061
0.603	0.7299	50	0.2258	0.0061
1.014	0.8759	60	0.1958	0.0061
0.8131	1.0219	70	0.1688	0.0061
0.6346	1.1679	80	0.1591	0.0061
0.5089	1.3139	90	0.1502	0.0061
0.4616	1.4599	100	0.1341	0.0061
0.4498	1.6058	110	0.1136	0.0061
0.4422	1.7518	120	0.1062	0.0061
0.3519	1.8978	130	0.0989	0.0061
0.2382	2.0438	140	0.0925	0.0061
0.242	2.1898	150	0.0894	0.0061
0.3462	2.3358	160	0.0907	0.0061
0.1371	2.4818	170	0.0862	0.0061
0.2691	2.6277	180	0.0838	0.0061
0.0869	2.7737	190	0.0833	0.0061
0.3401	2.9197	200	0.0815	0.0061

Framework versions

Transformers 4.46.1
Pytorch 2.3.1
Datasets 3.1.0
Tokenizers 0.20.1

svenbl80/finetune_colpali_v1_2-german_ver3-4bit

finetune_colpali_v1_2-german_ver3-4bit

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

svenbl80/
finetune_colpali_v1_2-german_ver3-4bit