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--- |
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license: cc-by-nc-4.0 |
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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-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-ucf101-subset |
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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: 0.8124 |
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- Accuracy: 0.8324 |
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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: 5e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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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: 3990 |
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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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| 2.1012 | 0.1 | 398 | 1.9809 | 0.38 | |
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| 1.0416 | 1.1 | 796 | 1.6140 | 0.56 | |
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| 0.2096 | 2.1 | 1194 | 1.5776 | 0.66 | |
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| 0.7101 | 3.1 | 1592 | 1.2004 | 0.74 | |
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| 1.2344 | 4.1 | 1990 | 1.9621 | 0.58 | |
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| 0.1809 | 5.1 | 2388 | 1.6322 | 0.71 | |
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| 0.0011 | 6.1 | 2786 | 1.8266 | 0.71 | |
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| 0.0951 | 7.1 | 3184 | 1.5910 | 0.78 | |
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| 0.4047 | 8.1 | 3582 | 1.9999 | 0.7 | |
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| 0.0011 | 9.1 | 3980 | 1.5903 | 0.78 | |
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| 0.001 | 10.0 | 3990 | 1.5903 | 0.78 | |
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### Framework versions |
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- Transformers 4.27.4 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.2 |
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