|
|
--- |
|
|
library_name: transformers |
|
|
license: cc-by-nc-4.0 |
|
|
base_model: MCG-NJU/videomae-base |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- accuracy |
|
|
model-index: |
|
|
- name: Videomae-d2 |
|
|
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-d2 |
|
|
|
|
|
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: 2.4405 |
|
|
- Accuracy: 0.2817 |
|
|
|
|
|
## 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: 1 |
|
|
- eval_batch_size: 1 |
|
|
- seed: 42 |
|
|
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
|
- lr_scheduler_type: linear |
|
|
- lr_scheduler_warmup_ratio: 0.1 |
|
|
- training_steps: 6650 |
|
|
- mixed_precision_training: Native AMP |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
|
| 2.5533 | 0.1 | 665 | 2.5143 | 0.1135 | |
|
|
| 2.5289 | 1.1 | 1330 | 2.5014 | 0.1412 | |
|
|
| 2.037 | 2.1 | 1995 | 2.4798 | 0.1724 | |
|
|
| 2.5935 | 3.1 | 2660 | 2.4935 | 0.1804 | |
|
|
| 1.779 | 4.1 | 3325 | 2.3578 | 0.2324 | |
|
|
| 1.8988 | 5.1 | 3990 | 2.3659 | 0.2546 | |
|
|
| 2.2268 | 6.1 | 4655 | 2.3632 | 0.2402 | |
|
|
| 1.5192 | 7.1 | 5320 | 2.4079 | 0.2452 | |
|
|
| 2.0327 | 8.1 | 5985 | 2.4804 | 0.2773 | |
|
|
| 1.5885 | 9.1 | 6650 | 2.4405 | 0.2817 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.46.2 |
|
|
- Pytorch 2.5.1+cu124 |
|
|
- Datasets 3.1.0 |
|
|
- Tokenizers 0.20.3 |
|
|
|
