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TanAlexanderlz/
BxSD_RGBCROP_Aug16F-8B16F-GACWDlr

Name: BxSD_RGBCROP_Aug16F-8B16F-GACWDlr
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BxSD_RGBCROP_Aug16F-8B16F-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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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: 2230

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.663	0.0251	56	0.6602	0.6354
0.4419	1.0251	112	0.4703	0.8125
0.1752	2.0251	168	0.3134	0.8906
0.0656	3.0251	224	0.2311	0.9375
0.0046	4.0251	280	0.2808	0.9427
0.0012	5.0251	336	0.2592	0.9427
0.0007	6.0251	392	0.2576	0.9479
0.0005	7.0251	448	0.2631	0.9479
0.0004	8.0251	504	0.2745	0.9479
0.0004	9.0251	560	0.2814	0.9479
0.0003	10.0251	616	0.2863	0.9479
0.0002	11.0251	672	0.2850	0.9479