nonviolence-subset
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0204
- 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: 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: 35
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.2 | 7 | 0.1175 | 1.0 |
| 0.2386 | 1.2 | 14 | 0.0493 | 1.0 |
| 0.0233 | 2.2 | 21 | 0.0266 | 1.0 |
| 0.0233 | 3.2 | 28 | 0.0222 | 1.0 |
| 0.0055 | 4.2 | 35 | 0.0204 | 1.0 |
Framework versions
- Transformers 4.35.2
- Pytorch 1.13.1+cu117
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for Naveengo/nonviolence-subset
Base model
MCG-NJU/videomae-base-finetuned-kinetics