viol_detect_gavidor
Browse files- README.md +66 -0
- model.safetensors +1 -1
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-ssv2
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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-ssv2-finetuned-ucf101-subset
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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-ssv2-finetuned-ucf101-subset
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This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-ssv2](https://huggingface.co/MCG-NJU/videomae-base-finetuned-ssv2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2464
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- Accuracy: 0.8824
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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: 3e-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: 68
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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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| 0.7033 | 0.19 | 13 | 0.5031 | 0.8824 |
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| 0.5179 | 1.19 | 26 | 0.3586 | 0.9412 |
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| 0.2945 | 2.19 | 39 | 0.3353 | 0.8235 |
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| 0.1903 | 3.19 | 52 | 0.3093 | 0.8824 |
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| 0.1997 | 4.19 | 65 | 0.2478 | 0.8824 |
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| 0.1997 | 5.04 | 68 | 0.2464 | 0.8824 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.0
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- Tokenizers 0.15.0
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 344937328
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version https://git-lfs.github.com/spec/v1
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oid sha256:94ee888d946fcbde2f4822997f43182690c2c4d77f5c5c4e174db3eea101fd3c
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size 344937328
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