This model is a fine-tuned version of facebook/detr-resnet-50 on the beyond_words_23 dataset. It achieves the following results on the evaluation set:

Loss: 0.9310

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: 0.0001
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: 200
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.7439	0.56	100	2.2690
1.7644	1.12	200	1.5053
1.557	1.69	300	1.3136
1.3207	2.25	400	1.2063
1.3705	2.81	500	1.2007
1.1924	3.37	600	1.2704
1.2604	3.93	700	1.1784
1.1982	4.49	800	1.1167
1.1912	5.06	900	1.1562
1.1206	5.62	1000	1.2124
1.1344	6.18	1100	1.0622
1.1388	6.74	1200	1.0425
1.0124	7.3	1300	0.9908
1.0776	7.87	1400	1.1182
0.9614	8.43	1500	0.9967
1.0136	8.99	1600	0.8933
1.0206	9.55	1700	0.9354
0.9529	10.11	1800	0.9751
1.0126	10.67	1900	0.9310

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.0
Tokenizers 0.13.2

davanstrien/detr-resnet-50_find_tuned_beyond_words

detr-resnet-50_find_tuned_beyond_words

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

davanstrien/
detr-resnet-50_find_tuned_beyond_words