videomae-base-finetuned-ucf101-subset
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9980
- Accuracy: 0.6857
Model description
More information needed
Intended uses & limitations
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Training and evaluation data
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Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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: 72
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
2.3785 | 0.2639 | 19 | 2.0400 | 0.2714 |
1.8552 | 1.2639 | 38 | 1.4939 | 0.3714 |
1.1655 | 2.2639 | 57 | 1.1090 | 0.6143 |
0.7439 | 3.2083 | 72 | 0.9980 | 0.6857 |
Framework versions
- Transformers 4.43.4
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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