videomae-base-finetuned-SLT-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: 1.1101
- Accuracy: 0.95
Model description
More information needed
Intended uses & limitations
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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: 116
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.1207 | 0.2586 | 30 | 2.6261 | 0.425 |
| 2.6077 | 1.2586 | 60 | 1.8453 | 0.875 |
| 2.1174 | 2.2586 | 90 | 1.3487 | 0.9 |
| 1.6021 | 3.2241 | 116 | 1.1155 | 0.975 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for Kenny008/videomae-base-finetuned-SLT-subset
Base model
MCG-NJU/videomae-base