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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- banking77 |
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metrics: |
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- accuracy |
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- f1 |
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widget: |
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- text: Could you assist me in finding my lost card? |
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example_title: Example 1 |
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- text: I found my lost card. Am I still able to use it? |
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example_title: Example 2 |
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- text: "Hey, I thought my topup was all done but now the money is gone again \u2013\ |
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\ what\u2019s up with that?" |
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example_title: Example 3 |
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- text: "Tell me why my topup wouldn\u2019t go through?" |
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example_title: Example 4 |
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model-index: |
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- name: distilbert-base-uncased-finetuned-banking77 |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: banking77 |
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type: banking77 |
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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.925 |
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- name: F1 |
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type: f1 |
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value: 0.925018570680639 |
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- task: |
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type: text-classification |
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name: Text Classification |
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dataset: |
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name: banking77 |
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type: banking77 |
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config: default |
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split: test |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.925 |
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verified: true |
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- name: Precision Macro |
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type: precision |
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value: 0.9282769473964405 |
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verified: true |
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- name: Precision Micro |
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type: precision |
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value: 0.925 |
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verified: true |
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- name: Precision Weighted |
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type: precision |
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value: 0.9282769473964405 |
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verified: true |
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- name: Recall Macro |
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type: recall |
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value: 0.9250000000000002 |
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verified: true |
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- name: Recall Micro |
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type: recall |
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value: 0.925 |
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verified: true |
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- name: Recall Weighted |
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type: recall |
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value: 0.925 |
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verified: true |
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- name: F1 Macro |
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type: f1 |
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value: 0.9250185706806391 |
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verified: true |
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- name: F1 Micro |
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type: f1 |
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value: 0.925 |
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verified: true |
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- name: F1 Weighted |
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type: f1 |
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value: 0.925018570680639 |
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verified: true |
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- name: loss |
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type: loss |
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value: 0.2934279143810272 |
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verified: true |
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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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# distilbert-base-uncased-finetuned-banking77 |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the banking77 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2935 |
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- Accuracy: 0.925 |
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- F1: 0.9250 |
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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: 9.686210354742596e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 32 |
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- seed: 40 |
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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 | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| No log | 1.0 | 126 | 1.1457 | 0.7896 | 0.7685 | |
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| No log | 2.0 | 252 | 0.4673 | 0.8906 | 0.8889 | |
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| No log | 3.0 | 378 | 0.3488 | 0.9150 | 0.9151 | |
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| 0.9787 | 4.0 | 504 | 0.3238 | 0.9180 | 0.9179 | |
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| 0.9787 | 5.0 | 630 | 0.3126 | 0.9225 | 0.9226 | |
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### Framework versions |
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- Transformers 4.17.0 |
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- Pytorch 1.11.0 |
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- Datasets 2.0.0 |
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- Tokenizers 0.11.6 |
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