|
---
|
|
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: []
|
|
---
|
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
should probably proofread and complete it, then remove this comment. -->
|
|
|
|
# videomae-base-finetuned-dd
|
|
|
|
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/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
|
|
|
