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TanAlexanderlz/
RALL_RGBCROP_Aug16F-polynomial

Name: RALL_RGBCROP_Aug16F-polynomial
Availability: InStock

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RALL_RGBCROP_Aug16F-polynomial

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: 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: polynomial
lr_scheduler_warmup_ratio: 0.1
training_steps: 3462

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4872	0.0835	289	0.5884	0.6667
0.2293	1.0835	578	0.5230	0.7975
0.0214	2.0835	867	0.7384	0.8016
0.0423	3.0835	1156	0.8912	0.8139
0.0008	4.0835	1445	1.0195	0.8016
0.0004	5.0835	1734	1.0783	0.7996
0.0003	6.0835	2023	1.1355	0.8016
0.0002	7.0835	2312	1.1726	0.7935