This model is a fine-tuned version of microsoft/beit-large-patch16-384 on the c14kevincardenas/beta_caller_284_person_crop dataset. It achieves the following results on the evaluation set:

Loss: 0.7131
Accuracy: 0.7678

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: 32
eval_batch_size: 32
seed: 2014
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 10.0
mixed_precision_training: Native AMP
label_smoothing_factor: 0.05

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.3649	1.0	214	1.5215	0.3640
1.1297	2.0	428	1.0014	0.6003
1.0881	3.0	642	0.9018	0.6559
1.0065	4.0	856	0.9688	0.5995
1.0028	5.0	1070	0.8240	0.7015
0.9225	6.0	1284	0.7355	0.7521
0.8522	7.0	1498	0.7693	0.7463
0.821	8.0	1712	0.7131	0.7678
0.735	9.0	1926	0.7316	0.7761
0.7123	10.0	2140	0.7301	0.7778

Framework versions

Transformers 4.41.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.19.1
Tokenizers 0.19.1

c14kevincardenas/beit-large-patch16-384-limb-person-crop-8_5e-5_1e-4_0.05

beit-large-patch16-384-limb-person-crop-8_5e-5_1e-4_0.05

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

c14kevincardenas/
beit-large-patch16-384-limb-person-crop-8_5e-5_1e-4_0.05