|
---
|
|
license: cc-by-nc-4.0
|
|
base_model: MCG-NJU/videomae-base
|
|
tags:
|
|
- generated_from_trainer
|
|
metrics:
|
|
- accuracy
|
|
model-index:
|
|
- name: videomae-base-ASD_Eye_Contact_v2
|
|
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-ASD_Eye_Contact_v2
|
|
|
|
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: 0.5594
|
|
- Accuracy: 1.0
|
|
|
|
## 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: 10
|
|
|
|
### Training results
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
|
| No log | 0.1 | 1 | 0.5182 | 1.0 |
|
|
| No log | 1.1 | 2 | 0.3872 | 1.0 |
|
|
| No log | 2.1 | 3 | 0.2654 | 1.0 |
|
|
| No log | 3.1 | 4 | 0.1842 | 1.0 |
|
|
| No log | 4.1 | 5 | 0.1304 | 1.0 |
|
|
| No log | 5.1 | 6 | 0.0937 | 1.0 |
|
|
| No log | 6.1 | 7 | 0.0733 | 1.0 |
|
|
| No log | 7.1 | 8 | 0.0603 | 1.0 |
|
|
| No log | 8.1 | 9 | 0.0525 | 1.0 |
|
|
| 0.2147 | 9.1 | 10 | 0.0489 | 1.0 |
|
|
|
|
|
|
### Framework versions
|
|
|
|
- Transformers 4.41.0
|
|
- Pytorch 2.3.0+cu121
|
|
- Datasets 2.19.1
|
|
- Tokenizers 0.19.1
|
|
|
