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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-subset2
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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-subset2
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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: 0.4611
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- Accuracy: 0.9286
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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: 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: 1200
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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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| 0.0018 | 0.06 | 75 | 0.2489 | 0.9 |
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| 0.0033 | 1.06 | 150 | 0.6663 | 0.8429 |
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| 0.7225 | 2.06 | 225 | 1.5428 | 0.7143 |
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| 0.9709 | 3.06 | 300 | 0.5602 | 0.8571 |
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| 0.0012 | 4.06 | 375 | 0.5840 | 0.8857 |
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| 0.0471 | 5.06 | 450 | 0.8610 | 0.8429 |
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| 0.0008 | 6.06 | 525 | 0.4117 | 0.9 |
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| 0.0007 | 7.06 | 600 | 0.4993 | 0.9 |
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| 0.0005 | 8.06 | 675 | 0.6722 | 0.8571 |
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| 0.0252 | 9.06 | 750 | 0.4827 | 0.8714 |
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| 0.0005 | 10.06 | 825 | 0.5150 | 0.9286 |
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| 0.0005 | 11.06 | 900 | 0.4033 | 0.9286 |
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| 0.0005 | 12.06 | 975 | 0.4546 | 0.9286 |
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| 0.0004 | 13.06 | 1050 | 0.4545 | 0.9286 |
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| 0.0004 | 14.06 | 1125 | 0.4596 | 0.9286 |
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| 0.0005 | 15.06 | 1200 | 0.4611 | 0.9286 |
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 1.8.0
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- Datasets 2.13.2
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- Tokenizers 0.13.3
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