finetuned-Accident-MultipleLabels-Video-subset

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: 2.0208
• Accuracy: 0.2593

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: 200

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.9193	0.08	16	1.9108	0.2344
1.4025	1.08	32	2.0975	0.1094
1.5413	2.08	48	2.0303	0.2969
1.4147	3.08	64	2.3447	0.2969
1.3804	4.08	80	2.4733	0.0469
1.3687	5.08	96	2.4051	0.3438
1.2929	6.08	112	2.3691	0.3125
1.1661	7.08	128	2.6412	0.1875
1.2024	8.08	144	2.6427	0.3125
1.0824	9.08	160	2.7478	0.3594
1.1011	10.08	176	2.7789	0.3594
0.9492	11.08	192	2.7706	0.3281
1.1232	12.04	200	2.7944	0.2969

Framework versions

• Transformers 4.35.0
• Pytorch 2.1.0
• Datasets 2.14.6
• Tokenizers 0.14.1