videomae-base-finetuned-ucf101-subset
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:
- eval_loss: 2.4447
- eval_accuracy: 0.0452
- eval_runtime: 27.1309
- eval_samples_per_second: 5.713
- eval_steps_per_second: 2.875
- step: 0
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 600
Framework versions
- Transformers 4.40.2
- Pytorch 1.13.1+cu116
- Datasets 2.19.1
- Tokenizers 0.19.1
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