This model is a fine-tuned version of c14kevincardenas/beit-large-patch16-384-limb on the c14kevincardenas/beta_caller_284_limbxy_hands dataset. It achieves the following results on the evaluation set:

Loss: 0.0048
Rmse: 0.0691

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
0.1563	1.0	51	0.1439	0.3793
0.066	2.0	102	0.0629	0.2507
0.031	3.0	153	0.0240	0.1550
0.0189	4.0	204	0.0222	0.1491
0.0362	5.0	255	0.0700	0.2646
0.0106	6.0	306	0.0118	0.1088
0.0217	7.0	357	0.0419	0.2048
0.0167	8.0	408	0.0170	0.1303
0.0078	9.0	459	0.0111	0.1052
0.0102	10.0	510	0.0158	0.1256
0.009	11.0	561	0.0064	0.0802
0.0067	12.0	612	0.0074	0.0862
0.0047	13.0	663	0.0055	0.0739
0.0036	14.0	714	0.0068	0.0827
0.0072	15.0	765	0.0075	0.0869
0.006	16.0	816	0.0055	0.0739
0.0022	17.0	867	0.0052	0.0721
0.0051	18.0	918	0.0054	0.0738
0.0023	19.0	969	0.0051	0.0714
0.0016	20.0	1020	0.0048	0.0691

Framework versions

Transformers 4.45.2
Pytorch 2.5.0+cu124
Datasets 3.0.1
Tokenizers 0.20.1

c14kevincardenas/limbxy_hands

limbxy_hands

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

c14kevincardenas/
limbxy_hands