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Browse files- README.md +66 -0
- model.safetensors +1 -1
README.md
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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-Others
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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-Others
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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: 1.7863
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- Accuracy: 0.1143
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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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- gradient_accumulation_steps: 4
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- total_train_batch_size: 16
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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 | 0.25 | 5 | 1.8386 | 0.2857 |
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| 1.9251 | 1.25 | 10 | 1.7164 | 0.4 |
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| 1.9251 | 2.25 | 15 | 1.7367 | 0.2571 |
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| 1.5856 | 3.25 | 20 | 1.7863 | 0.1143 |
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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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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 344955832
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version https://git-lfs.github.com/spec/v1
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size 344955832
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