metadata
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-subset-check10
results: []
videomae-base-finetuned-subset-check10
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: 0.9676
- Accuracy: 0.6296
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: 1e-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: 1110
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.6046 | 0.1 | 112 | 1.5695 | 0.2581 |
| 1.5968 | 1.1 | 224 | 1.5343 | 0.3502 |
| 1.4175 | 2.1 | 336 | 1.4348 | 0.3088 |
| 1.2801 | 3.1 | 448 | 0.9527 | 0.6774 |
| 1.1862 | 4.1 | 560 | 1.1452 | 0.5253 |
| 1.1711 | 5.1 | 672 | 0.9195 | 0.6959 |
| 1.0642 | 6.1 | 784 | 0.9303 | 0.6636 |
| 1.2081 | 7.1 | 896 | 1.0957 | 0.5714 |
| 0.9326 | 8.1 | 1008 | 0.9903 | 0.6774 |
| 0.9876 | 9.09 | 1110 | 0.9823 | 0.6820 |
Framework versions
- Transformers 4.36.2
- Pytorch 1.13.1
- Datasets 2.16.1
- Tokenizers 0.15.0