|
--- |
|
license: cc-by-nc-4.0 |
|
base_model: MCG-NJU/videomae-base-finetuned-ssv2 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: videomae-base-finetuned-ssv2-finetuned-ucf101-subset |
|
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-ssv2-finetuned-ucf101-subset |
|
|
|
This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-ssv2](https://huggingface.co./MCG-NJU/videomae-base-finetuned-ssv2) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2464 |
|
- Accuracy: 0.8824 |
|
|
|
## 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: 3e-05 |
|
- train_batch_size: 4 |
|
- eval_batch_size: 4 |
|
- 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: 68 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.7033 | 0.19 | 13 | 0.5031 | 0.8824 | |
|
| 0.5179 | 1.19 | 26 | 0.3586 | 0.9412 | |
|
| 0.2945 | 2.19 | 39 | 0.3353 | 0.8235 | |
|
| 0.1903 | 3.19 | 52 | 0.3093 | 0.8824 | |
|
| 0.1997 | 4.19 | 65 | 0.2478 | 0.8824 | |
|
| 0.1997 | 5.04 | 68 | 0.2464 | 0.8824 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.2 |
|
- Pytorch 2.1.0+cu121 |
|
- Datasets 2.16.0 |
|
- Tokenizers 0.15.0 |
|
|
