metadata
license: cc-by-nc-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-ucf101-subset2
results: []
videomae-base-finetuned-ucf101-subset2
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: 0.4611
- Accuracy: 0.9286
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: 1200
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0018 | 0.06 | 75 | 0.2489 | 0.9 |
| 0.0033 | 1.06 | 150 | 0.6663 | 0.8429 |
| 0.7225 | 2.06 | 225 | 1.5428 | 0.7143 |
| 0.9709 | 3.06 | 300 | 0.5602 | 0.8571 |
| 0.0012 | 4.06 | 375 | 0.5840 | 0.8857 |
| 0.0471 | 5.06 | 450 | 0.8610 | 0.8429 |
| 0.0008 | 6.06 | 525 | 0.4117 | 0.9 |
| 0.0007 | 7.06 | 600 | 0.4993 | 0.9 |
| 0.0005 | 8.06 | 675 | 0.6722 | 0.8571 |
| 0.0252 | 9.06 | 750 | 0.4827 | 0.8714 |
| 0.0005 | 10.06 | 825 | 0.5150 | 0.9286 |
| 0.0005 | 11.06 | 900 | 0.4033 | 0.9286 |
| 0.0005 | 12.06 | 975 | 0.4546 | 0.9286 |
| 0.0004 | 13.06 | 1050 | 0.4545 | 0.9286 |
| 0.0004 | 14.06 | 1125 | 0.4596 | 0.9286 |
| 0.0005 | 15.06 | 1200 | 0.4611 | 0.9286 |
Framework versions
- Transformers 4.30.2
- Pytorch 1.8.0
- Datasets 2.13.2
- Tokenizers 0.13.3