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---
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license: cc-by-nc-4.0
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base_model: dvs/videomae-base-finetuned-movienet
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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-movienet-finetuned-movienet-more
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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-movienet-finetuned-movienet-more
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This model is a fine-tuned version of [dvs/videomae-base-finetuned-movienet](https://huggingface.co/dvs/videomae-base-finetuned-movienet) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6822
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- Accuracy: 0.7917
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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: 8
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- eval_batch_size: 8
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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: 1480
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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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| 0.4977 | 0.13 | 186 | 0.8210 | 0.7234 |
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| 0.3974 | 1.13 | 372 | 0.6322 | 0.8085 |
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| 0.1101 | 2.13 | 558 | 1.0522 | 0.75 |
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| 0.1618 | 3.13 | 744 | 0.9185 | 0.7872 |
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| 0.0052 | 4.13 | 930 | 0.8586 | 0.8085 |
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| 0.0013 | 5.13 | 1116 | 1.0029 | 0.7926 |
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| 0.0044 | 6.13 | 1302 | 1.0400 | 0.7872 |
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| 0.0008 | 7.12 | 1480 | 1.0018 | 0.7979 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.1
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- Tokenizers 0.13.3
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