videomae-base-finetuned-fish-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: 0.0007
• Accuracy: 1.0

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Use OptimizerNames.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: 212

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5809	0.1274	27	0.2946	0.9062
0.002	1.1274	54	0.0009	1.0
0.0003	2.1274	81	0.0004	1.0
0.0002	3.1274	108	0.0003	1.0
0.0002	4.1274	135	0.0003	1.0
0.0002	5.1274	162	0.0003	1.0
0.0002	6.1274	189	0.0003	1.0
0.0002	7.1085	212	0.2895	0.9437

Framework versions

• Transformers 4.48.2
• Pytorch 2.6.0+cu124
• Datasets 3.2.0
• Tokenizers 0.21.0