File size: 2,063 Bytes
d622eb3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 |
---
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
|