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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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model-index: |
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- name: finetuned-Accident-MultipleLabels-Video-subset-v2-new1 |
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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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# finetuned-Accident-MultipleLabels-Video-subset-v2-new1 |
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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: 1.7707 |
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- Accuracy: 0.2222 |
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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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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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: 20 |
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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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| No log | 0.1 | 2 | 1.8807 | 0.2031 | |
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| No log | 1.1 | 4 | 1.8070 | 0.2812 | |
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| No log | 2.1 | 6 | 1.8501 | 0.25 | |
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| No log | 3.1 | 8 | 1.9253 | 0.2812 | |
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| 1.6852 | 4.1 | 10 | 1.9988 | 0.2656 | |
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| 1.6852 | 5.1 | 12 | 2.0073 | 0.2812 | |
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| 1.6852 | 6.1 | 14 | 1.9848 | 0.2812 | |
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| 1.6852 | 7.1 | 16 | 1.9575 | 0.2812 | |
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| 1.6852 | 8.1 | 18 | 1.9472 | 0.2969 | |
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| 1.4101 | 9.1 | 20 | 1.9442 | 0.2969 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.2.0.dev20231202+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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