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TanAlexanderlz/
ALL_RGBCROP_ori16F-8B16F-GACWDlrDO2-cosine

Name: ALL_RGBCROP_ori16F-8B16F-GACWDlrDO2-cosine
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ALL_RGBCROP_ori16F-8B16F-GACWDlrDO2-cosine

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: cosine
lr_scheduler_warmup_ratio: 0.1
training_steps: 960

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.693	0.05	48	0.6962	0.5061
0.5698	1.05	96	0.6468	0.6037
0.386	2.05	144	0.5518	0.7317
0.3362	3.05	192	0.5194	0.7439
0.2304	4.05	240	0.4915	0.7622
0.1812	5.05	288	0.4888	0.7561
0.184	6.05	336	0.5179	0.7561
0.156	7.05	384	0.5182	0.7805
0.1027	8.05	432	0.5171	0.7622
0.0751	9.05	480	0.5690	0.7317
0.041	10.05	528	0.7000	0.7439
0.056	11.05	576	0.6516	0.7378
0.0309	12.05	624	0.7192	0.7378