vilt-b32-mlm-mami – AI Model by Bainbridge | AlphaNeural AI

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vilt-b32-mlm-mami

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vilt-b32-mlm-mami

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

Loss: 0.5796
F1: 0.7899

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: 1e-05
train_batch_size: 32
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.6898	0.48	100	0.6631	0.6076
0.5824	0.96	200	0.5055	0.7545
0.4306	1.44	300	0.4586	0.7861
0.4207	1.91	400	0.4439	0.7927
0.3055	2.39	500	0.4912	0.7949
0.2582	2.87	600	0.4921	0.7873
0.1875	3.35	700	0.5796	0.7899

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3