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--- |
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license: cc-by-nc-4.0 |
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base_model: MCG-NJU/videomae-base |
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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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- f1 |
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- precision |
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- recall |
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model-index: |
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- name: videomae-base-finetuned-numbers-augmented |
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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-numbers-augmented |
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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: 0.1494 |
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- Accuracy: 0.9559 |
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- F1: 0.9562 |
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- Precision: 0.9568 |
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- Recall: 0.9565 |
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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: 2816 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
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| 0.8968 | 0.25 | 704 | 0.8689 | 0.6878 | 0.6885 | 0.7423 | 0.6886 | |
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| 0.5002 | 1.25 | 1408 | 0.4374 | 0.8542 | 0.8531 | 0.8718 | 0.8535 | |
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| 0.3627 | 2.25 | 2112 | 0.1109 | 0.9623 | 0.9618 | 0.9647 | 0.9614 | |
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| 0.0289 | 3.25 | 2816 | 0.0374 | 0.9880 | 0.9880 | 0.9881 | 0.9880 | |
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### Framework versions |
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- Transformers 4.40.0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.1 |
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