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Browse files- README.md +66 -0
- pytorch_model.bin +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
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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-cctv-brawl_extended
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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-cctv-brawl_extended
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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: 0.4998
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- Accuracy: 0.8644
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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: 1e-05
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- train_batch_size: 12
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- eval_batch_size: 12
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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: 5022
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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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| 0.232 | 0.17 | 838 | 0.5134 | 0.7813 |
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| 0.1099 | 1.17 | 1676 | 0.7192 | 0.7824 |
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| 0.2178 | 2.17 | 2514 | 0.4419 | 0.8299 |
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| 0.0697 | 3.17 | 3352 | 0.6157 | 0.8448 |
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| 0.2116 | 4.17 | 4190 | 0.4998 | 0.8644 |
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| 0.1655 | 5.17 | 5022 | 0.5615 | 0.8542 |
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 344979378
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version https://git-lfs.github.com/spec/v1
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size 344979378
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