End of training
Browse files- README.md +69 -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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model-index:
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- name: videomae-base-finetuned-ucf-crimevbinary
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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-crimevbinary
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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: 0.5752
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- Accuracy: 0.8349
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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 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.4885 | 1.0 | 42 | 0.5207 | 0.7182 |
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| 0.4276 | 2.0 | 84 | 0.4124 | 0.8182 |
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| 0.2752 | 3.0 | 126 | 0.4102 | 0.8091 |
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| 0.2854 | 4.0 | 168 | 0.3868 | 0.8364 |
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| 0.3007 | 5.0 | 210 | 0.6700 | 0.8455 |
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| 0.2043 | 6.0 | 252 | 0.6153 | 0.8 |
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| 0.0636 | 7.0 | 294 | 0.8258 | 0.8273 |
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| 0.1859 | 8.0 | 336 | 0.7135 | 0.8182 |
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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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size 344937368
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version https://git-lfs.github.com/spec/v1
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size 344937368
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