You can deploy this model and start earning money today!

piplustheta/
videomae-base-finetuned-ssv2-finetuned-samsung-subset

Name: videomae-base-finetuned-ssv2-finetuned-samsung-subset
Availability: InStock

generated_from_trainer

MCG-NJU/videomae-base-finetuned-ssv2

finetune

cc-by-nc-4.0

endpoints_compatible

Views

No views yet

videomae-base-finetuned-ssv2-finetuned-samsung-subset

This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-ssv2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5762
Accuracy: 0.8041

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 408

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.608	0.25	103	1.5651	0.5497
0.7421	1.25	206	0.9050	0.7271
0.6384	2.25	309	0.6470	0.7963
0.3902	3.24	408	0.5762	0.8041

Framework versions

Transformers 4.32.0
Pytorch 2.0.1+rocm5.4.2
Datasets 2.14.4
Tokenizers 0.13.3

piplustheta/videomae-base-finetuned-ssv2-finetuned-samsung-subset

videomae-base-finetuned-ssv2-finetuned-samsung-subset

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

piplustheta/
videomae-base-finetuned-ssv2-finetuned-samsung-subset