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--- |
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license: cc-by-nc-4.0 |
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base_model: MCG-NJU/videomae-large |
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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-large-cctv-brawl_extended_v1 |
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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-large-cctv-brawl_extended_v1 |
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This model is a fine-tuned version of [MCG-NJU/videomae-large](https://huggingface.co/MCG-NJU/videomae-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4430 |
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- Accuracy: 0.8252 |
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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-07 |
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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: 12565 |
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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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| 0.4193 | 0.2 | 2514 | 0.4839 | 0.6985 | |
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| 0.3542 | 1.2 | 5028 | 0.4445 | 0.7593 | |
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| 0.2673 | 2.2 | 7542 | 0.4344 | 0.7993 | |
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| 0.3185 | 3.2 | 10056 | 0.4328 | 0.8201 | |
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| 0.4006 | 4.2 | 12565 | 0.4430 | 0.8252 | |
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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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