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c14kevincardenas/
finetuned-beit-limb-seq-t4-4heads-1layers-1e-4lr

Name: finetuned-beit-limb-seq-t4-4heads-1layers-1e-4lr
Availability: InStock

transformers

tensorboard

safetensors

image-sequence-classification

vision

generated_from_trainer

c14kevincardenas/ClimBEiT_single_frame

finetune

apache-2.0

endpoints_compatible

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finetuned-beit-limb-seq-t4-4heads-1layers-1e-4lr

This model is a fine-tuned version of c14kevincardenas/beit-large-patch16-384-limb-person-crop on the c14kevincardenas/beta_caller_284_person_crop_seq_withlimb_4 dataset. It achieves the following results on the evaluation set:

Loss: 0.3913
Accuracy: 0.9234

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: 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: 250
num_epochs: 20.0
mixed_precision_training: Native AMP
label_smoothing_factor: 0.05

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0589	1.0	148	0.5868	0.8754
0.429	2.0	296	0.4257	0.8970
0.4438	3.0	444	0.4207	0.9078
0.4218	4.0	592	0.4250	0.9006
0.4232	5.0	740	0.3950	0.9198
0.4047	6.0	888	0.3974	0.9198
0.3966	7.0	1036	0.3983	0.9174
0.394	8.0	1184	0.4040	0.9162
0.4226	9.0	1332	0.3954	0.9186
0.3786	10.0	1480	0.3975	0.9174
0.3887	11.0	1628	0.4018	0.9150
0.3966	12.0	1776	0.3930	0.9174
0.382	13.0	1924	0.4001	0.9162
0.3805	14.0	2072	0.4116	0.9138
0.3781	15.0	2220	0.4034	0.9174
0.3796	16.0	2368	0.3913	0.9234
0.3522	17.0	2516	0.3978	0.9210
0.3799	18.0	2664	0.3995	0.9198
0.3741	19.0	2812	0.3941	0.9186
0.3208	20.0	2960	0.3964	0.9222

Framework versions

Transformers 4.45.2
Pytorch 2.5.0+cu124
Datasets 3.0.1
Tokenizers 0.20.1

c14kevincardenas/finetuned-beit-limb-seq-t4-4heads-1layers-1e-4lr

finetuned-beit-limb-seq-t4-4heads-1layers-1e-4lr

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

c14kevincardenas/
finetuned-beit-limb-seq-t4-4heads-1layers-1e-4lr