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--- |
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base_model: SpanBERT/spanbert-large-cased |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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- accuracy |
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model-index: |
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- name: sapect_complaint_spanbert |
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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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# sapect_complaint_spanbert |
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This model is a fine-tuned version of [SpanBERT/spanbert-large-cased](https://huggingface.co/SpanBERT/spanbert-large-cased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1905 |
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- F1: 0.7365 |
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- Roc Auc: 0.8250 |
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- Accuracy: 0.5052 |
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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: 2e-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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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:| |
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| 0.284 | 1.0 | 582 | 0.2261 | 0.6543 | 0.7733 | 0.3720 | |
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| 0.2063 | 2.0 | 1164 | 0.1965 | 0.7113 | 0.8003 | 0.4338 | |
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| 0.1822 | 3.0 | 1746 | 0.1935 | 0.7197 | 0.8062 | 0.4416 | |
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| 0.1632 | 4.0 | 2328 | 0.1918 | 0.7325 | 0.8210 | 0.4897 | |
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| 0.1408 | 5.0 | 2910 | 0.1905 | 0.7365 | 0.8250 | 0.5052 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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