videomae-base-finetuned-ssv22-finetuned-ucf101-subset
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-ssv2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0010
- Accuracy: 1.0
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: 3e-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: 168
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1456 | 0.25 | 42 | 0.0706 | 1.0 |
| 0.009 | 1.25 | 84 | 0.0115 | 1.0 |
| 0.0011 | 2.25 | 126 | 0.0010 | 1.0 |
| 0.0008 | 3.25 | 168 | 0.0010 | 1.0 |
Framework versions
- Transformers 4.41.2
- Pytorch 1.11.0+cu102
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for avidorger/videomae-base-finetuned-ssv22-finetuned-ucf101-subset
Base model
MCG-NJU/videomae-base-finetuned-ssv2