End of training
Browse files- README.md +77 -0
- model.safetensors +1 -1
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
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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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- precision
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- recall
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model-index:
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- name: videomae-base-finetuned-ucf-crimevbinaryv5
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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-ucf-crimevbinaryv5
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This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5233
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- Accuracy: 0.8730
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- Precision: 0.8739
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- Recall: 0.8730
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- Auc: 0.9382
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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: 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_steps: 500
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- num_epochs: 30
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | Auc |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| 0.5298 | 1.0 | 173 | 0.4598 | 0.7952 | 0.8100 | 0.7952 | 0.8607 |
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| 0.3824 | 2.0 | 346 | 0.3941 | 0.8434 | 0.8456 | 0.8434 | 0.9138 |
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| 0.4836 | 3.0 | 519 | 0.5244 | 0.8032 | 0.8348 | 0.8032 | 0.9153 |
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| 0.5522 | 4.0 | 692 | 0.6005 | 0.7149 | 0.8064 | 0.7149 | 0.8669 |
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| 0.3953 | 5.0 | 865 | 0.5102 | 0.8474 | 0.8512 | 0.8474 | 0.9071 |
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| 0.4682 | 6.0 | 1038 | 0.5437 | 0.8715 | 0.8765 | 0.8715 | 0.9211 |
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| 0.2755 | 7.0 | 1211 | 0.7215 | 0.8434 | 0.8668 | 0.8434 | 0.9279 |
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| 0.0752 | 8.0 | 1384 | 0.8213 | 0.8554 | 0.8697 | 0.8554 | 0.9166 |
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| 0.0448 | 9.0 | 1557 | 0.8370 | 0.8554 | 0.8571 | 0.8554 | 0.8999 |
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| 0.0122 | 10.0 | 1730 | 0.7837 | 0.8715 | 0.8718 | 0.8715 | 0.9109 |
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| 0.0294 | 11.0 | 1903 | 0.8141 | 0.8715 | 0.8718 | 0.8715 | 0.9079 |
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### Framework versions
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- Transformers 4.47.0.dev0
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- Pytorch 2.5.1+cu124
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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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 344937368
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version https://git-lfs.github.com/spec/v1
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oid sha256:873aac3a3ef40cccdfd52e693e33c84cb8b7ad3d00cc7e5e34844bd5fa00e3d1
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size 344937368
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