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--- |
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license: apache-2.0 |
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base_model: bert-base-uncased |
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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: banking77-text-classification |
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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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# banking77-text-classification |
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4686 |
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- F1: 0.8989 |
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- Accuracy: 0.9054 |
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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: 32 |
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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: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:| |
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| 3.9638 | 0.46 | 100 | 3.1616 | 0.3449 | 0.4205 | |
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| 2.5608 | 0.91 | 200 | 1.9064 | 0.6739 | 0.7231 | |
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| 1.5807 | 1.37 | 300 | 1.2332 | 0.7769 | 0.8111 | |
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| 1.0547 | 1.83 | 400 | 0.8750 | 0.8433 | 0.8594 | |
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| 0.7201 | 2.28 | 500 | 0.6806 | 0.8620 | 0.8777 | |
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| 0.5474 | 2.74 | 600 | 0.5627 | 0.8856 | 0.8970 | |
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| 0.4168 | 3.2 | 700 | 0.5010 | 0.8884 | 0.8984 | |
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| 0.3382 | 3.65 | 800 | 0.4686 | 0.8989 | 0.9054 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.0 |
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- Tokenizers 0.15.0 |
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