finetuned-Accident-MultipleLabels-Video-subset-v2-new1 – AI Model by pavitemple | AlphaNeural AI

You can deploy this model and start earning money today!

pavitemple/
finetuned-Accident-MultipleLabels-Video-subset-v2-new1

like

0

video-classification

generated_from_trainer

MCG-NJU/videomae-base

endpoints_compatible

Views

No views yet

finetuned-Accident-MultipleLabels-Video-subset-v2-new1

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

Loss: 1.7707
Accuracy: 0.2222

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
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.1	2	1.8807	0.2031
No log	1.1	4	1.8070	0.2812
No log	2.1	6	1.8501	0.25
No log	3.1	8	1.9253	0.2812
1.6852	4.1	10	1.9988	0.2656
1.6852	5.1	12	2.0073	0.2812
1.6852	6.1	14	1.9848	0.2812
1.6852	7.1	16	1.9575	0.2812
1.6852	8.1	18	1.9472	0.2969
1.4101	9.1	20	1.9442	0.2969

Framework versions

Transformers 4.35.2
Pytorch 2.2.0.dev20231202+cu121
Datasets 2.15.0
Tokenizers 0.15.0