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--- |
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license: cc-by-nc-4.0 |
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base_model: facebook/timesformer-base-finetuned-k400 |
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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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model-index: |
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- name: videomae-surf-analytics-runpod |
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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-surf-analytics-runpod |
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This model is a fine-tuned version of [facebook/timesformer-base-finetuned-k400](https://huggingface.co/facebook/timesformer-base-finetuned-k400) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4027 |
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- Accuracy: 0.8838 |
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- F1: 0.8838 |
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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: 12 |
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- eval_batch_size: 12 |
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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: 610 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:------:| |
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| 0.6712 | 0.1016 | 62 | 0.8671 | 0.6680 | 0.6623 | |
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| 0.3119 | 1.1016 | 124 | 0.5911 | 0.7884 | 0.7887 | |
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| 0.2505 | 2.1016 | 186 | 0.5297 | 0.8008 | 0.8002 | |
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| 0.207 | 3.1016 | 248 | 0.5970 | 0.7801 | 0.7787 | |
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| 0.1743 | 4.1016 | 310 | 0.5612 | 0.8050 | 0.7984 | |
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| 0.1005 | 5.1016 | 372 | 0.4027 | 0.8838 | 0.8838 | |
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| 0.0147 | 6.1016 | 434 | 0.4360 | 0.8589 | 0.8573 | |
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| 0.0573 | 7.1016 | 496 | 0.4451 | 0.8714 | 0.8697 | |
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| 0.0143 | 8.1016 | 558 | 0.4099 | 0.8672 | 0.8666 | |
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| 0.1311 | 9.0852 | 610 | 0.4056 | 0.8755 | 0.8752 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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