metadata
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base-finetuned-ssv2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-ssv2-finetuned-ucf101-subset
results: []
videomae-base-finetuned-ssv2-finetuned-ucf101-subset
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-ssv2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2464
- Accuracy: 0.8824
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: 3e-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: 68
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7033 | 0.19 | 13 | 0.5031 | 0.8824 |
| 0.5179 | 1.19 | 26 | 0.3586 | 0.9412 |
| 0.2945 | 2.19 | 39 | 0.3353 | 0.8235 |
| 0.1903 | 3.19 | 52 | 0.3093 | 0.8824 |
| 0.1997 | 4.19 | 65 | 0.2478 | 0.8824 |
| 0.1997 | 5.04 | 68 | 0.2464 | 0.8824 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0