vilt_finetuned_200 – AI Model by tpedelose | AlphaNeural AI

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tpedelose/
vilt_finetuned_200

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visual-question-answering

generated_from_trainer

dandelin/vilt-b32-mlm

endpoints_compatible

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vilt_finetuned_200

This model is a fine-tuned version of dandelin/vilt-b32-mlm on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 4.3306

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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
363.9675	0.16	100	26.1215
11.4975	0.32	200	7.2332
6.1909	0.48	300	5.9332
5.2134	0.64	400	5.5186
5.0189	0.8	500	5.3268
4.7551	0.96	600	5.0921
4.5394	1.12	700	4.9538
4.3441	1.28	800	4.8967
4.1436	1.44	900	4.7419
4.1847	1.6	1000	4.6581
4.0116	1.76	1100	4.5915
3.918	1.92	1200	4.5202
3.8251	2.08	1300	4.4634
3.7981	2.24	1400	4.4169
3.7108	2.4	1500	4.3954
3.5706	2.56	1600	4.3626
3.5559	2.72	1700	4.3374
3.6951	2.88	1800	4.3306

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu121
Datasets 2.14.6
Tokenizers 0.14.1