Timesformer-vivit-d1 – AI Model by skywalker290 | AlphaNeural AI

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skywalker290/
Timesformer-vivit-d1

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video-classification

generated_from_trainer

google/vivit-b-16x2-kinetics400

endpoints_compatible

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Timesformer-vivit-d1

This model is a fine-tuned version of google/vivit-b-16x2-kinetics400 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.7607
Accuracy: 0.7557

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: 1
eval_batch_size: 1
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 12010
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0024	0.1	1201	2.5898	0.6116
0.7957	1.1	2402	1.8821	0.6666
0.5344	2.1	3603	1.7371	0.6686
0.2148	3.1	4804	1.4470	0.7413
0.883	4.1	6005	1.7974	0.6735
0.0012	5.1	7206	1.5739	0.7386
0.0008	6.1	8407	1.7734	0.7307
1.8254	7.1	9608	1.4496	0.7704
0.6005	8.1	10809	1.8740	0.7504
0.0002	9.1	12010	1.7607	0.7557

Framework versions

Transformers 4.46.2
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.20.3