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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