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README.md
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---
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license: cc-by-nc-4.0
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base_model: MCG-NJU/videomae-base-finetuned-kinetics
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: videomae-base-finetuned-kinetics-final-contest-baole1-0705
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# videomae-base-finetuned-kinetics-final-contest-baole1-0705
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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.
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It achieves the following results on the evaluation set:
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- Loss: 0.3916
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- Accuracy: 0.9087
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 9e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- training_steps: 2057
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-------:|:----:|:---------------:|:--------:|
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| 0.641 | 0.0914 | 188 | 0.9443 | 0.7178 |
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| 0.1614 | 1.0914 | 376 | 0.4797 | 0.8340 |
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| 0.0883 | 2.0914 | 564 | 0.4375 | 0.8672 |
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| 0.0963 | 3.0914 | 752 | 0.4745 | 0.8797 |
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| 0.0168 | 4.0914 | 940 | 0.4087 | 0.8880 |
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| 0.0011 | 5.0914 | 1128 | 0.3451 | 0.8880 |
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| 0.0009 | 6.0914 | 1316 | 0.4118 | 0.8838 |
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| 0.0007 | 7.0914 | 1504 | 0.3856 | 0.9046 |
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| 0.0008 | 8.0914 | 1692 | 0.4004 | 0.8963 |
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| 0.0006 | 9.0914 | 1880 | 0.4079 | 0.8963 |
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| 0.0005 | 10.0860 | 2057 | 0.3916 | 0.9087 |
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 1.13.1+cu117
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- Datasets 2.18.0
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- Tokenizers 0.19.1
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