TanAlexanderlz/ALL_RGBCROP_ori16F-8B16F-GACWD1

ALL_RGBCROP_ori16F-8B16F-GACWD

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:

• Loss: 0.3803
• Accuracy: 0.8144

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
• 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: 1440

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6146	0.0333	48	0.6323	0.6280
0.3307	1.0333	96	0.4748	0.7805
0.2425	2.0333	144	0.6149	0.7805
0.1629	3.0333	192	0.7126	0.7683

Framework versions

• Transformers 4.51.3
• Pytorch 2.6.0+cu124
• Datasets 2.14.4
• Tokenizers 0.21.1