videomae-base-groub21-22-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: 3.1575
- Accuracy: 0.125
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: 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: 80
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.8723 | 0.12 | 10 | 3.6474 | 0.025 |
| 3.7679 | 1.12 | 20 | 3.5862 | 0.1 |
| 3.6477 | 2.12 | 30 | 3.5005 | 0.075 |
| 3.5454 | 3.12 | 40 | 3.3870 | 0.1 |
| 3.4185 | 4.12 | 50 | 3.2780 | 0.125 |
| 3.3205 | 5.12 | 60 | 3.2124 | 0.1 |
| 3.2337 | 6.12 | 70 | 3.1729 | 0.1 |
| 3.176 | 7.12 | 80 | 3.1575 | 0.125 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0+cpu
- Datasets 2.1.0
- Tokenizers 0.13.3
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Model tree for asmaa1/videomae-base-groub21-22-finetuned-SLT-subset
Base model
MCG-NJU/videomae-base