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-finetuned_40
results: []
videomae-finetuned_40
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: 5.6806
- Accuracy: 0.4753
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- training_steps: 52700
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6864 | 0.05 | 2635 | 3.6882 | 0.3937 |
| 0.5651 | 1.05 | 5270 | 4.0977 | 0.4524 |
| 0.4606 | 2.05 | 7905 | 4.5958 | 0.4149 |
| 0.6425 | 3.05 | 10540 | 5.2244 | 0.4139 |
| 0.7045 | 4.05 | 13175 | 4.6517 | 0.4482 |
| 0.4105 | 5.05 | 15810 | 5.2383 | 0.4234 |
| 0.4876 | 6.05 | 18445 | 5.2027 | 0.4252 |
| 0.5886 | 7.05 | 21080 | 5.4343 | 0.3893 |
| 0.2125 | 8.05 | 23715 | 5.8632 | 0.4322 |
| 0.3111 | 9.05 | 26350 | 5.3468 | 0.4406 |
| 0.3185 | 10.05 | 28985 | 5.5490 | 0.4500 |
| 0.2399 | 11.05 | 31620 | 5.5484 | 0.4614 |
| 0.201 | 12.05 | 34255 | 5.5056 | 0.4612 |
| 0.1405 | 13.05 | 36890 | 5.6038 | 0.4612 |
| 0.1989 | 14.05 | 39525 | 5.7589 | 0.4594 |
| 0.1457 | 15.05 | 42160 | 5.8408 | 0.4644 |
| 0.1133 | 16.05 | 44795 | 5.7189 | 0.4696 |
| 0.0586 | 17.05 | 47430 | 5.6806 | 0.4753 |
| 0.0339 | 18.05 | 50065 | 5.7528 | 0.4745 |
| 0.0722 | 19.05 | 52700 | 5.7638 | 0.4751 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.0.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2