metadata
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base-finetuned-kinetics
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-kinetics-finetuned-ucf101-subset
results: []
videomae-base-finetuned-kinetics-finetuned-ucf101-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: 1.2309
- Accuracy: 0.9806
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: 16
- eval_batch_size: 16
- 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: 148
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.2587 | 0.13 | 19 | 1.2644 | 1.0 |
| 0.6711 | 1.13 | 38 | 0.2098 | 1.0 |
| 0.1355 | 2.13 | 57 | 0.0465 | 1.0 |
| 0.0295 | 3.13 | 76 | 0.0431 | 0.9857 |
| 0.0155 | 4.13 | 95 | 0.0226 | 1.0 |
| 0.0175 | 5.13 | 114 | 0.0178 | 1.0 |
| 0.0168 | 6.13 | 133 | 0.0180 | 1.0 |
| 0.008 | 7.1 | 148 | 0.0184 | 1.0 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.2.0+cu121
- Datasets 2.11.0
- Tokenizers 0.15.1