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---
license: cc-by-nc-4.0
base_model: MCG-NJU/videomae-base-finetuned-kinetics
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-kinetics-final-contest-baole4-0705
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-kinetics-final-contest-baole4-0705
This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-base-finetuned-kinetics) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3771
- Accuracy: 0.8807
## 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: 1e-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: 2805
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 0.4477 | 0.0670 | 188 | 0.8428 | 0.8486 |
| 0.3123 | 1.0670 | 376 | 0.6401 | 0.8532 |
| 0.2498 | 2.0670 | 564 | 0.5204 | 0.8578 |
| 0.0348 | 3.0670 | 752 | 0.4130 | 0.8899 |
| 0.146 | 4.0670 | 940 | 0.3617 | 0.8991 |
| 0.038 | 5.0670 | 1128 | 0.4519 | 0.8670 |
| 0.0116 | 6.0670 | 1316 | 0.4160 | 0.8716 |
| 0.0083 | 7.0670 | 1504 | 0.3683 | 0.8807 |
| 0.0067 | 8.0670 | 1692 | 0.3820 | 0.8807 |
| 0.0051 | 9.0670 | 1880 | 0.3932 | 0.8761 |
| 0.0057 | 10.0670 | 2068 | 0.3944 | 0.8853 |
| 0.0045 | 11.0670 | 2256 | 0.4133 | 0.8761 |
| 0.0042 | 12.0670 | 2444 | 0.3813 | 0.8807 |
| 0.0037 | 13.0670 | 2632 | 0.3806 | 0.8853 |
| 0.0039 | 14.0617 | 2805 | 0.3771 | 0.8807 |
### Framework versions
- Transformers 4.40.2
- Pytorch 1.13.1+cu117
- Datasets 2.18.0
- Tokenizers 0.19.1
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