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TanAlexanderlz/
RALL_RGBCROP_ori32F-8B32F

Name: RALL_RGBCROP_ori32F-8B32F
Availability: InStock

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RALL_RGBCROP_ori32F-8B32F

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

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The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
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: 1152

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5935	0.0842	97	0.6120	0.6564
0.5701	1.0842	194	0.5455	0.7117
0.4129	2.0842	291	0.6972	0.6687
0.3013	3.0842	388	0.5767	0.7362
0.2225	4.0842	485	0.5957	0.7669
0.1328	5.0842	582	0.9459	0.7301
0.09	6.0842	679	1.0717	0.7301
0.3032	7.0842	776	1.1080	0.7301
0.1587	8.0842	873	1.1592	0.7301