finetuned-Accident-SingleLabel-Final-v3 – AI Model by pavitemple | AlphaNeural AI

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pavitemple/
finetuned-Accident-SingleLabel-Final-v3

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video-classification

generated_from_trainer

MCG-NJU/videomae-base

endpoints_compatible

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finetuned-Accident-SingleLabel-Final-v3

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: 0.7942
Accuracy: 0.6471

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
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 16
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 65

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.06	4	1.8584	0.1739
No log	1.06	8	1.6548	0.3478
1.6685	2.06	12	1.4049	0.5217
1.6685	3.06	16	1.1540	0.6087
1.0202	4.06	20	1.1246	0.6087
1.0202	5.06	24	1.0258	0.4348
1.0202	6.06	28	0.9200	0.5217
0.9738	7.06	32	0.8942	0.6087
0.9738	8.06	36	0.8556	0.6087
0.7315	9.06	40	0.9506	0.6087
0.7315	10.06	44	0.9272	0.6087
0.7315	11.06	48	0.8048	0.5652
0.7004	12.06	52	0.8537	0.5217
0.7004	13.06	56	0.8058	0.6087
0.7426	14.06	60	1.0633	0.6957
0.7426	15.06	64	0.9449	0.6522
0.7426	16.02	65	0.8110	0.6522

Framework versions

Transformers 4.35.0
Pytorch 2.1.0
Datasets 2.14.6
Tokenizers 0.14.1