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minhah/
videomae-base-finetuned-crema-d-finetuned-elder-creama-d-pretuned

Name: videomae-base-finetuned-crema-d-finetuned-elder-creama-d-pretuned
Availability: InStock

generated_from_trainer

minhah/videomae-base-finetuned-crema-d

finetune

cc-by-nc-4.0

endpoints_compatible

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videomae-base-finetuned-crema-d-finetuned-elder-creama-d-pretuned

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

Loss: 1.6397
Accuracy: 0.3531

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: 1152

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.6688	0.13	145	1.6217	0.3380
1.5751	1.13	290	1.6644	0.2630
1.5395	2.13	435	1.6250	0.3233
1.679	3.13	580	1.7084	0.2104
1.5276	4.13	725	1.6725	0.2630
1.4864	5.13	870	1.6777	0.2756
1.5555	6.13	1015	1.7054	0.2763
1.5678	7.12	1152	1.7471	0.2440

Framework versions

Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2

minhah/videomae-base-finetuned-crema-d-finetuned-elder-creama-d-pretuned

videomae-base-finetuned-crema-d-finetuned-elder-creama-d-pretuned

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

minhah/
videomae-base-finetuned-crema-d-finetuned-elder-creama-d-pretuned