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TanAlexanderlz/
RALL_RGBCROP_Aug16F-16B16F

Name: RALL_RGBCROP_Aug16F-16B16F
Availability: InStock

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RALL_RGBCROP_Aug16F-16B16F

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-06
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: 1728

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5554	0.0839	145	0.6132	0.6769
0.2656	1.0839	290	0.4692	0.7771
0.1142	2.0839	435	0.5119	0.8037
0.0509	3.0839	580	0.6926	0.7894
0.0295	4.0839	725	0.8195	0.7935
0.0036	5.0839	870	0.9101	0.8016
0.0143	6.0839	1015	0.9655	0.7975