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Munnafaisal/
ft-videomae-ucf101

Name: ft-videomae-ucf101
Availability: InStock

generated_from_trainer

MCG-NJU/videomae-base-finetuned-kinetics

finetune

cc-by-nc-4.0

endpoints_compatible

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ft-videomae-ucf101

This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on the aisuko/funsd-layoutlmv3 dataset. It achieves the following results on the evaluation set:

Loss: 0.1174
Accuracy: 1.0

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: 4
eval_batch_size: 4
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: 150
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2042	0.5	75	0.1174	1.0
0.0253	1.5	150	0.0191	1.0

Framework versions

Transformers 4.35.2
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.15.0

Munnafaisal/ft-videomae-ucf101

ft-videomae-ucf101

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Munnafaisal/
ft-videomae-ucf101