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: 0.1004
Rmse: 0.3168

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
0.1305	1.0	89	0.1136	0.3371
0.1225	2.0	178	0.1131	0.3364
0.1121	3.0	267	0.1023	0.3198
0.1148	4.0	356	0.1069	0.3270
0.1199	5.0	445	0.1202	0.3467
0.1065	6.0	534	0.1013	0.3183
0.1051	7.0	623	0.1025	0.3201
0.1023	8.0	712	0.1106	0.3326
0.105	9.0	801	0.1151	0.3392
0.1018	10.0	890	0.1053	0.3245
0.1063	11.0	979	0.1008	0.3176
0.0982	12.0	1068	0.1076	0.3280
0.1007	13.0	1157	0.1014	0.3185
0.0996	14.0	1246	0.1047	0.3236
0.0996	15.0	1335	0.1037	0.3221
0.104	16.0	1424	0.1019	0.3192
0.0985	17.0	1513	0.1007	0.3173
0.0972	18.0	1602	0.1008	0.3174
0.0984	19.0	1691	0.1008	0.3175
0.0973	20.0	1780	0.1004	0.3168

Framework versions

Transformers 4.45.2
Pytorch 2.5.0+cu124
Datasets 3.0.1
Tokenizers 0.20.1

c14kevincardenas/limbxy_pose_2heads_1layers_128embeddim

limbxy_pose_2heads_1layers_128embeddim

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

c14kevincardenas/
limbxy_pose_2heads_1layers_128embeddim