|
--- |
|
license: cc-by-nc-4.0 |
|
base_model: MCG-NJU/videomae-large |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: videomae-large-cctv-brawl_extended_v1 |
|
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-large-cctv-brawl_extended_v1 |
|
|
|
This model is a fine-tuned version of [MCG-NJU/videomae-large](https://huggingface.co./MCG-NJU/videomae-large) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4430 |
|
- Accuracy: 0.8252 |
|
|
|
## 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-07 |
|
- 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: 12565 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
|
| 0.4193 | 0.2 | 2514 | 0.4839 | 0.6985 | |
|
| 0.3542 | 1.2 | 5028 | 0.4445 | 0.7593 | |
|
| 0.2673 | 2.2 | 7542 | 0.4344 | 0.7993 | |
|
| 0.3185 | 3.2 | 10056 | 0.4328 | 0.8201 | |
|
| 0.4006 | 4.2 | 12565 | 0.4430 | 0.8252 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.34.1 |
|
- Pytorch 2.1.0+cu118 |
|
- Datasets 2.14.6 |
|
- Tokenizers 0.14.1 |
|
|
