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: 0.7333
- Accuracy: 0.4706
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: 2
- eval_batch_size: 2
- 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: 136
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6509 | 0.19 | 26 | 0.7615 | 0.4706 |
| 0.7591 | 1.19 | 52 | 0.7596 | 0.5294 |
| 0.8024 | 2.19 | 78 | 0.7129 | 0.4706 |
| 0.7443 | 3.19 | 104 | 0.7310 | 0.4706 |
| 0.7078 | 4.19 | 130 | 0.7323 | 0.4706 |
| 0.7078 | 5.04 | 136 | 0.7333 | 0.4706 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0