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TanAlexanderlz/
ALL_RGBCROP_Aug16F-8B16F-GACWDlr

Name: ALL_RGBCROP_Aug16F-8B16F-GACWDlr
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ALL_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:

Best Checkpoint : 1296

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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: 2304

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5269	0.0625	144	0.5941	0.6646
0.2405	1.0625	288	0.5302	0.7724
0.0421	2.0625	432	0.7070	0.7886
0.006	3.0625	576	0.9248	0.7825
0.0039	4.0625	720	1.0677	0.7907
0.0003	5.0625	864	1.0671	0.8008
0.0002	6.0625	1008	1.1264	0.7967
0.0002	7.0625	1152	1.1610	0.7927
0.0002	8.0625	1296	1.1490	0.8028
0.0001	9.0625	1440	1.1798	0.7967
0.0001	10.0625	1584	1.2032	0.7988
0.0001	11.0625	1728	1.2225	0.7967
0.0001	12.0625	1872	1.2358	0.7988
0.0001	13.0625	2016	1.2433	0.8008