finetuned-Accident-MultipleLabels-Others
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: 1.8870
- Accuracy: 0.2
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
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.25 | 5 | 1.8386 | 0.2857 |
| 1.9251 | 1.25 | 10 | 1.7164 | 0.4 |
| 1.9251 | 2.25 | 15 | 1.7367 | 0.2571 |
| 1.5856 | 3.25 | 20 | 1.7863 | 0.1143 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.2.0.dev20231202+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for pavitemple/finetuned-Accident-MultipleLabels-Others
Base model
MCG-NJU/videomae-base