videomae-base-sarco-aumentado

This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.3437
• Accuracy: 0.3958

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• 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: 320

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.7603	0.1031	33	1.5047	0.5263
0.0509	1.1031	66	2.6909	0.5263
0.0422	2.1031	99	3.1231	0.5263
0.0085	3.1031	132	3.3052	0.5263
0.0016	4.1031	165	3.3200	0.5263
0.0011	5.1031	198	3.3733	0.5263
0.0008	6.1031	231	3.3552	0.5263
0.0007	7.1031	264	3.3927	0.5263
0.0007	8.1031	297	3.4122	0.5263
0.0007	9.0719	320	3.4094	0.5263

Framework versions

• Transformers 4.46.2
• Pytorch 2.0.1+cu117
• Datasets 3.1.0
• Tokenizers 0.20.3