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--- |
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license: cc-by-nc-4.0 |
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base_model: MCG-NJU/videomae-large |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: videomae-large_Sports_action_recognition |
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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-large_Sports_action_recognition |
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This model is a fine-tuned version of [MCG-NJU/videomae-large](https://huggingface.co/MCG-NJU/videomae-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 0.0027 |
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- eval_confusion_matrix: {'confusion_matrix': array([[24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], |
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[ 0, 40, 0, 0, 0, 0, 0, 0, 0, 0, 0], |
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[ 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, 0], |
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[ 0, 0, 0, 37, 0, 0, 0, 0, 0, 0, 0], |
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[ 0, 0, 0, 0, 43, 0, 0, 0, 0, 0, 0], |
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[ 0, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0], |
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[ 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0], |
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[ 0, 0, 0, 0, 0, 0, 0, 33, 0, 0, 0], |
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[ 0, 0, 0, 0, 0, 0, 0, 0, 26, 0, 0], |
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[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 15, 0], |
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[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36]])} |
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- eval_runtime: 127.0184 |
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- eval_samples_per_second: 3.007 |
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- eval_steps_per_second: 1.504 |
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- step: 0 |
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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: 17150 |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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