metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-ucf101-subset
results: []
videomae-base-finetuned-ucf101-subset
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1801
- Accuracy: 0.5412
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: 4920
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3212 | 0.0502 | 247 | 0.5765 | 0.7898 |
| 0.3799 | 1.0502 | 494 | 0.4347 | 0.8042 |
| 0.1638 | 2.0502 | 741 | 0.6744 | 0.6560 |
| 0.1194 | 3.0502 | 988 | 0.3914 | 0.8500 |
| 0.2124 | 4.0502 | 1235 | 0.8541 | 0.7002 |
| 0.0289 | 5.0502 | 1482 | 2.8893 | 0.5087 |
| 0.0909 | 6.0502 | 1729 | 1.3700 | 0.6822 |
| 0.0729 | 7.0502 | 1976 | 1.4459 | 0.6671 |
| 0.0122 | 8.0502 | 2223 | 1.9108 | 0.6382 |
| 0.0269 | 9.0502 | 2470 | 2.4835 | 0.5734 |
| 0.0659 | 10.0502 | 2717 | 2.8008 | 0.6112 |
| 0.0371 | 11.0502 | 2964 | 2.7996 | 0.5996 |
| 0.1188 | 12.0502 | 3211 | 2.8353 | 0.6063 |
| 0.0203 | 13.0502 | 3458 | 2.1282 | 0.6544 |
| 0.053 | 14.0502 | 3705 | 2.5461 | 0.6431 |
| 0.0006 | 15.0502 | 3952 | 2.9020 | 0.6257 |
| 0.0365 | 16.0502 | 4199 | 3.0216 | 0.5914 |
| 0.0005 | 17.0502 | 4446 | 2.8913 | 0.6036 |
| 0.0003 | 18.0502 | 4693 | 2.9041 | 0.6098 |
| 0.0003 | 19.0461 | 4920 | 2.9829 | 0.6028 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1