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README.md
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---
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library_name: transformers
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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-finetuned-kisa-crime-kinetics
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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-finetuned-kisa-crime-kinetics
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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: 1.0061
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- Accuracy: 0.6563
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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: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.05
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- training_steps: 3825
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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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| 0.009 | 0.0403 | 154 | 0.6101 | 0.7571 |
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| 0.1849 | 1.0403 | 308 | 2.0129 | 0.6583 |
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| 0.0118 | 2.0403 | 462 | 1.5005 | 0.6395 |
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| 0.0025 | 3.0403 | 616 | 0.6377 | 0.7696 |
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| 0.0002 | 4.0403 | 770 | 2.1999 | 0.6207 |
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| 0.0094 | 5.0403 | 924 | 2.0027 | 0.6395 |
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| 0.0001 | 6.0403 | 1078 | 1.3275 | 0.7304 |
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| 0.0113 | 7.0403 | 1232 | 1.8064 | 0.7069 |
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| 0.0065 | 8.0403 | 1386 | 1.9642 | 0.6630 |
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| 4.3521 | 9.0403 | 1540 | 1.9627 | 0.6505 |
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| 0.0029 | 10.0403 | 1694 | 2.0753 | 0.6771 |
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| 0.0 | 11.0403 | 1848 | 1.9155 | 0.6724 |
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| 0.0012 | 12.0403 | 2002 | 1.7378 | 0.7179 |
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| 0.0008 | 13.0403 | 2156 | 1.7509 | 0.7100 |
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### Framework versions
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- Transformers 4.48.1
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- Pytorch 2.5.1+cu121
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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model.safetensors
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