This model is a fine-tuned version of c14kevincardenas/beit-large-patch16-384-limb on the c14kevincardenas/beta_caller_284_limbxy_pose dataset. It achieves the following results on the evaluation set:

Loss: 0.1417
Rmse: 0.3765

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: 64
eval_batch_size: 64
seed: 2014
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 250
num_epochs: 20.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rmse
0.3414	1.0	89	0.3311	0.5754
0.3313	2.0	178	0.3311	0.5754
0.2277	3.0	267	0.1668	0.4085
0.1756	4.0	356	0.1516	0.3893
0.1761	5.0	445	0.1556	0.3945
0.1632	6.0	534	0.1460	0.3821
0.1488	7.0	623	0.1453	0.3812
0.1502	8.0	712	0.1449	0.3807
0.1512	9.0	801	0.1509	0.3885
0.1491	10.0	890	0.1451	0.3809
0.1615	11.0	979	0.1451	0.3810
0.1549	12.0	1068	0.1453	0.3812
0.1511	13.0	1157	0.1451	0.3810
0.146	14.0	1246	0.1448	0.3806
0.1495	15.0	1335	0.1442	0.3797
0.1463	16.0	1424	0.1433	0.3785
0.1455	17.0	1513	0.1428	0.3779
0.144	18.0	1602	0.1422	0.3772
0.1461	19.0	1691	0.1427	0.3778
0.1425	20.0	1780	0.1417	0.3765

Framework versions

Transformers 4.45.2
Pytorch 2.5.0+cu124
Datasets 3.0.1
Tokenizers 0.20.1

c14kevincardenas/limbxy_pose_2heads_2layers_16embeddim

limbxy_pose_2heads_2layers_16embeddim

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

c14kevincardenas/
limbxy_pose_2heads_2layers_16embeddim