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---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-large-finetuned-right-hand-conflab-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-finetuned-right-hand-conflab-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: 1.5240
- Accuracy: 0.6146
## 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: 16
- eval_batch_size: 16
- 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: 1404
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 2.0232 | 0.0420 | 59 | 1.9422 | 0.1942 |
| 1.8426 | 1.0420 | 118 | 1.7418 | 0.3398 |
| 1.7424 | 2.0420 | 177 | 1.6896 | 0.4175 |
| 1.2206 | 3.0420 | 236 | 1.6280 | 0.4466 |
| 1.0738 | 4.0420 | 295 | 1.2310 | 0.5825 |
| 1.0054 | 5.0420 | 354 | 1.3243 | 0.5583 |
| 0.782 | 6.0420 | 413 | 1.1891 | 0.6359 |
| 0.599 | 7.0420 | 472 | 1.1930 | 0.6505 |
| 0.6782 | 8.0420 | 531 | 1.2866 | 0.6359 |
| 0.3033 | 9.0420 | 590 | 1.4236 | 0.5777 |
| 0.2236 | 10.0420 | 649 | 1.3206 | 0.6553 |
| 0.1756 | 11.0420 | 708 | 1.5113 | 0.6602 |
| 0.1341 | 12.0420 | 767 | 1.6544 | 0.6408 |
| 0.0823 | 13.0420 | 826 | 1.6124 | 0.6553 |
| 0.0691 | 14.0420 | 885 | 1.8230 | 0.6456 |
### Framework versions
- Transformers 4.41.0
- Pytorch 1.12.0+cu116
- Datasets 2.19.1
- Tokenizers 0.19.1
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