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-ucf101
results: []
videomae-base-finetuned-ucf101
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: 0.0757
- Accuracy: 0.9837
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: 6
- eval_batch_size: 6
- 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: 8320
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.1009 | 0.1 | 833 | 1.2521 | 0.6558 |
| 0.2821 | 1.1 | 1666 | 0.4310 | 0.8623 |
| 0.4519 | 2.1 | 2499 | 0.2645 | 0.9223 |
| 0.137 | 3.1 | 3332 | 0.2231 | 0.9371 |
| 0.1014 | 4.1 | 4165 | 0.1516 | 0.9593 |
| 0.0084 | 5.1 | 4998 | 0.1478 | 0.9682 |
| 0.0041 | 6.1 | 5831 | 0.1284 | 0.9652 |
| 0.006 | 7.1 | 6664 | 0.1214 | 0.9726 |
| 0.001 | 8.1 | 7497 | 0.0745 | 0.9822 |
| 0.0005 | 9.1 | 8320 | 0.0757 | 0.9837 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.1+cu118
- Datasets 2.17.1
- Tokenizers 0.15.2