videomae-base-finetuned-ucf101-subset_fhbh
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: 0.2618
- eval_accuracy: 0.9412
- eval_runtime: 89.4759
- eval_samples_per_second: 0.57
- eval_steps_per_second: 0.145
- epoch: 24.0020
- step: 1450
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: 4
- eval_batch_size: 4
- 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: 28500
Framework versions
- Transformers 4.44.2
- Pytorch 1.10.0+cu113
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for Mayank1996/videomae-base-finetuned-ucf101-subset_fhbh
Base model
MCG-NJU/videomae-base