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-subset
results: []
videomae-base-finetuned-ucf101-subset
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: 0.2622
- Accuracy: 0.9226
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: 750
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
2.1525 | 0.1 | 75 | 1.7229 | 0.5429 |
1.028 | 1.1 | 150 | 0.7190 | 0.7571 |
0.3541 | 2.1 | 225 | 0.3072 | 0.8714 |
0.6501 | 3.1 | 300 | 0.5646 | 0.7857 |
0.0448 | 4.1 | 375 | 0.4440 | 0.8571 |
0.0785 | 5.1 | 450 | 0.3218 | 0.9 |
0.0214 | 6.1 | 525 | 0.1372 | 0.9571 |
0.0039 | 7.1 | 600 | 0.1034 | 0.9571 |
0.0048 | 8.1 | 675 | 0.1595 | 0.9143 |
0.0052 | 9.1 | 750 | 0.1007 | 0.9571 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1