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:
- Loss: 1.4692
- Accuracy: 0.5796
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
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 804
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.8076 | 0.2512 | 202 | 1.8165 | 0.5839 |
| 1.6691 | 1.2512 | 404 | 1.6015 | 0.5573 |
| 1.4736 | 2.2512 | 606 | 1.5749 | 0.5783 |
| 1.3263 | 3.2463 | 804 | 1.4692 | 0.5796 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.1.1+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1
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Model tree for Prabesh06/videomae-base-finetuned-ucf101-subset
Base model
MCG-NJU/videomae-base