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--- |
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license: cc-by-nc-4.0 |
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base_model: MCG-NJU/videomae-base-finetuned-kinetics |
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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-kinetics-finetuned-conflab-traj-direction-rh-v10 |
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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-kinetics-finetuned-conflab-traj-direction-rh-v10 |
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This model is a fine-tuned version of [MCG-NJU/videomae-base-finetuned-kinetics](https://huggingface.co/MCG-NJU/videomae-base-finetuned-kinetics) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4978 |
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- Accuracy: 0.5756 |
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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: 819 |
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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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| 1.989 | 0.1441 | 118 | 1.8787 | 0.2670 | |
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| 1.3092 | 1.1441 | 236 | 1.6428 | 0.4272 | |
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| 1.0096 | 2.1441 | 354 | 1.4351 | 0.4757 | |
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| 0.604 | 3.1441 | 472 | 1.3919 | 0.5 | |
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| 0.2381 | 4.1441 | 590 | 1.3555 | 0.5437 | |
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| 0.2201 | 5.1441 | 708 | 1.3875 | 0.5777 | |
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| 0.1171 | 6.1355 | 819 | 1.3528 | 0.6019 | |
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### Framework versions |
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- Transformers 4.41.0 |
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- Pytorch 1.12.0+cu116 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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