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--- |
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library_name: transformers |
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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: output |
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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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# output |
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: nan |
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- Model Preparation Time: 0.0007 |
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- Accuracy: 0.9944 |
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- F1: 0.9917 |
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- Iou: 0.9889 |
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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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Accuracy | F1 | Iou | |
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|:-------------:|:-----:|:----:|:---------------:|:----------------------:|:--------:|:------:|:------:| |
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| No log | 1.0 | 1 | 0.5669 | 0.0007 | 0.9944 | 0.9917 | 0.9889 | |
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| No log | 2.0 | 2 | nan | 0.0007 | 0.9944 | 0.9917 | 0.9889 | |
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| No log | 3.0 | 3 | nan | 0.0007 | 0.9944 | 0.9917 | 0.9889 | |
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| No log | 4.0 | 4 | nan | 0.0007 | 0.9944 | 0.9917 | 0.9889 | |
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| No log | 5.0 | 5 | nan | 0.0007 | 0.9944 | 0.9917 | 0.9889 | |
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| No log | 6.0 | 6 | nan | 0.0007 | 0.9944 | 0.9917 | 0.9889 | |
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| No log | 7.0 | 7 | nan | 0.0007 | 0.9944 | 0.9917 | 0.9889 | |
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| No log | 8.0 | 8 | nan | 0.0007 | 0.9944 | 0.9917 | 0.9889 | |
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| No log | 9.0 | 9 | nan | 0.0007 | 0.9944 | 0.9917 | 0.9889 | |
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| No log | 10.0 | 10 | nan | 0.0007 | 0.9944 | 0.9917 | 0.9889 | |
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### Framework versions |
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- Transformers 4.46.2 |
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- Pytorch 2.5.1 |
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- Datasets 2.21.0 |
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- Tokenizers 0.20.3 |
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