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videomae-base-test-small-aug-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: 0.7786
- 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: 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: 16
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.12 | 2 | 1.3221 | 0.5 |
| No log | 1.12 | 4 | 1.1049 | 0.5 |
| No log | 2.12 | 6 | 0.9825 | 0.5 |
| No log | 3.12 | 8 | 0.8929 | 0.75 |
| 1.2166 | 4.12 | 10 | 0.8538 | 0.5 |
| 1.2166 | 5.12 | 12 | 0.8157 | 0.5 |
| 1.2166 | 6.12 | 14 | 0.7909 | 1.0 |
| 1.2166 | 7.12 | 16 | 0.7786 | 1.0 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0+cpu
- Datasets 2.1.0
- Tokenizers 0.13.3
