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Shawon16/
Timesformer_LSA64_SR_24

Name: Timesformer_LSA64_SR_24
Availability: InStock

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TimeSformer_LSA64_SR_24

This model is a fine-tuned version of facebook/timesformer-base-finetuned-k400 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-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use 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: 8640
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
14.399	0.0333	288	2.0813	0.6953	0.6686	0.6953	0.6468
2.5013	1.0333	576	0.3335	0.9531	0.9673	0.9531	0.9518
0.2412	2.0333	864	0.0600	0.9961	0.9969	0.9961	0.9960
0.0331	3.0333	1152	0.0037	1.0	1.0	1.0	1.0
0.0739	4.0333	1440	0.0085	0.9922	0.9938	0.9922	0.9921
0.0022	5.0333	1728	0.0112	0.9961	0.9969	0.9961	0.9960
0.0011	6.0333	2016	0.0008	1.0	1.0	1.0	1.0
0.0006	7.0333	2304	0.0004	1.0	1.0	1.0	1.0
0.001	8.0333	2592	0.0155	0.9922	0.9948	0.9922	0.9917