metadata
license: cc-by-nc-4.0
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: 1.4743
- Accuracy: 0.5419
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: 300
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.3247 | 0.25 | 75 | 2.2102 | 0.2143 |
| 2.2528 | 1.25 | 150 | 2.0479 | 0.1571 |
| 1.8267 | 2.25 | 225 | 1.7605 | 0.3286 |
| 1.5876 | 3.25 | 300 | 1.6022 | 0.3714 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.8.1+cu111
- Datasets 2.9.0
- Tokenizers 0.13.2