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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-nimeshbuddhika |
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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-nimeshbuddhika |
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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: 0.1097 |
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- Accuracy: 0.9731 |
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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: 2 |
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- eval_batch_size: 2 |
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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: 1500 |
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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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| 2.4285 | 0.1 | 150 | 2.1186 | 0.2032 | |
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| 0.9154 | 1.1 | 300 | 1.1913 | 0.6043 | |
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| 0.4498 | 2.1 | 450 | 0.3770 | 0.8824 | |
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| 0.3012 | 3.1 | 600 | 0.3904 | 0.8663 | |
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| 0.1458 | 4.1 | 750 | 0.8938 | 0.7968 | |
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| 0.0464 | 5.1 | 900 | 0.6181 | 0.8556 | |
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| 0.0274 | 6.1 | 1050 | 0.7182 | 0.8075 | |
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| 0.0022 | 7.1 | 1200 | 0.4525 | 0.8717 | |
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| 0.0302 | 8.1 | 1350 | 0.3172 | 0.9091 | |
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| 0.0166 | 9.1 | 1500 | 0.2898 | 0.8984 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
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