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TanAlexanderlz/
RALL_RGBCROP_Aug16F-4B16F

Name: RALL_RGBCROP_Aug16F-4B16F
Availability: InStock

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RALL_RGBCROP_Aug16F-4B16F

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: 4
eval_batch_size: 4
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: 6930

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3709	0.0834	578	0.5310	0.7444
0.1851	1.0834	1156	0.6812	0.7975
0.0015	2.0834	1734	0.9254	0.8180
0.0014	3.0834	2312	1.1273	0.8037
0.0001	4.0834	2890	1.2652	0.7975
0.0001	5.0834	3468	1.3945	0.7975
0.0001	6.0834	4046	1.3822	0.7955