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--- |
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license: mit |
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base_model: google/vivit-b-16x2-kinetics400 |
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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: vivit-b-16x2-kinetics400_training_O_OM_0519 |
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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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# vivit-b-16x2-kinetics400_training_O_OM_0519 |
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This model is a fine-tuned version of [google/vivit-b-16x2-kinetics400](https://huggingface.co/google/vivit-b-16x2-kinetics400) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1012 |
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- Accuracy: 0.815 |
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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: 3000 |
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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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| 0.9097 | 0.1 | 300 | 0.9219 | 0.64 | |
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| 0.0229 | 1.1 | 600 | 0.7215 | 0.83 | |
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| 0.0019 | 2.1 | 900 | 0.9705 | 0.815 | |
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| 0.2377 | 3.1 | 1200 | 1.0544 | 0.815 | |
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| 0.0002 | 4.1 | 1500 | 1.1033 | 0.8 | |
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| 0.0003 | 5.1 | 1800 | 1.0511 | 0.82 | |
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| 0.0002 | 6.1 | 2100 | 1.0354 | 0.805 | |
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| 0.0033 | 7.1 | 2400 | 1.1037 | 0.81 | |
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| 0.0002 | 8.1 | 2700 | 1.0985 | 0.815 | |
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| 0.0002 | 9.1 | 3000 | 1.1012 | 0.815 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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