This model is a fine-tuned version of hungsvdut2k2/video-classification on an unknown dataset.
It achieves the following results on the evaluation set:
eval_loss: 0.5977
eval_accuracy: 0.7059
eval_runtime: 351.4501
eval_samples_per_second: 2.322
eval_steps_per_second: 0.29
epoch: 0.05
step: 118
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
