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TanAlexanderlz/
ALL_RGBCROP_Aug16F-16B16F-GACWDlr

Name: ALL_RGBCROP_Aug16F-16B16F-GACWDlr
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ALL_RGBCROP_Aug16F-16B16F-GACWDlr

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: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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
0.6361	0.0417	72	0.6432	0.6382
0.3554	1.0417	144	0.5090	0.7439
0.1632	2.0417	216	0.5323	0.7825
0.0439	3.0417	288	0.6035	0.8069
0.0044	4.0417	360	0.8301	0.7927
0.0028	5.0417	432	0.8714	0.8110
0.0008	6.0417	504	0.9483	0.8089
0.0005	7.0417	576	0.9650	0.8191
0.0005	8.0417	648	0.9847	0.8089
0.0005	9.0417	720	1.0961	0.8008
0.0003	10.0417	792	1.0523	0.8110
0.0003	11.0417	864	1.0718	0.8171
0.0002	12.0417	936	1.0848	0.8130