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: 0.2249
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: 222
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1532 | 0.1712 | 38 | 1.9601 |
| 1.0818 | 1.1712 | 76 | 1.0123 |
| 0.4907 | 2.1712 | 114 | 0.6228 |
| 0.2464 | 3.1712 | 152 | 0.2450 |
| 0.0926 | 4.1712 | 190 | 0.1909 |
| 0.0558 | 5.1441 | 222 | 0.2249 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.19.1
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Model tree for anvaldesg/videomae-base-finetuned-ucf101-subset
Base model
MCG-NJU/videomae-base