|
|
--- |
|
|
license: cc-by-nc-4.0 |
|
|
base_model: dvs/videomae-base-finetuned-movienet |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- accuracy |
|
|
model-index: |
|
|
- name: videomae-base-finetuned-movienet-finetuned-movienet-more |
|
|
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-movienet-finetuned-movienet-more |
|
|
|
|
|
This model is a fine-tuned version of [dvs/videomae-base-finetuned-movienet](https://huggingface.co/dvs/videomae-base-finetuned-movienet) on an unknown dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.6822 |
|
|
- Accuracy: 0.7917 |
|
|
|
|
|
## 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: 8 |
|
|
- eval_batch_size: 8 |
|
|
- 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: 1480 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
|
| 0.4977 | 0.13 | 186 | 0.8210 | 0.7234 | |
|
|
| 0.3974 | 1.13 | 372 | 0.6322 | 0.8085 | |
|
|
| 0.1101 | 2.13 | 558 | 1.0522 | 0.75 | |
|
|
| 0.1618 | 3.13 | 744 | 0.9185 | 0.7872 | |
|
|
| 0.0052 | 4.13 | 930 | 0.8586 | 0.8085 | |
|
|
| 0.0013 | 5.13 | 1116 | 1.0029 | 0.7926 | |
|
|
| 0.0044 | 6.13 | 1302 | 1.0400 | 0.7872 | |
|
|
| 0.0008 | 7.12 | 1480 | 1.0018 | 0.7979 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.31.0 |
|
|
- Pytorch 2.0.1+cu118 |
|
|
- Datasets 2.14.1 |
|
|
- Tokenizers 0.13.3 |
|
|
|
