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-dd
results: []
videomae-base-finetuned-dd
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: 0.4577
- Accuracy: 0.8909
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: 1352
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5777 | 0.2485 | 336 | 0.8214 | 0.8373 |
| 1.144 | 1.2493 | 673 | 0.4453 | 0.8754 |
| 0.2783 | 2.2493 | 1010 | 0.8930 | 0.8171 |
| 0.0037 | 3.2470 | 1344 | 0.4077 | 0.8979 |
| 0.2113 | 4.0059 | 1352 | 0.4079 | 0.8979 |
Framework versions
- Transformers 4.40.2
- Pytorch 1.12.0+cu113
- Datasets 2.19.1
- Tokenizers 0.19.1