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--- |
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tags: autotrain |
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language: en |
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widget: |
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- text: I am still waiting on my card? |
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datasets: |
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- banking77 |
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model-index: |
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- name: BERT-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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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 91.99 |
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- name: Macro F1 |
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type: macro-f1 |
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value: 91.99 |
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- name: Weighted F1 |
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type: weighted-f1 |
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value: 91.99 |
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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: 0.922077922077922 |
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verified: true |
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- name: Precision Macro |
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type: precision |
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value: 0.9256326708783564 |
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verified: true |
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- name: Precision Micro |
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type: precision |
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value: 0.922077922077922 |
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verified: true |
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- name: Precision Weighted |
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type: precision |
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value: 0.9256326708783565 |
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verified: true |
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- name: Recall Macro |
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type: recall |
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value: 0.922077922077922 |
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verified: true |
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- name: Recall Micro |
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type: recall |
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value: 0.922077922077922 |
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verified: true |
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- name: Recall Weighted |
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type: recall |
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value: 0.922077922077922 |
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verified: true |
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- name: F1 Macro |
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type: f1 |
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value: 0.9221617304411865 |
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verified: true |
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- name: F1 Micro |
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type: f1 |
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value: 0.922077922077922 |
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verified: true |
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- name: F1 Weighted |
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type: f1 |
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value: 0.9221617304411867 |
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verified: true |
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- name: loss |
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type: loss |
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value: 0.31692808866500854 |
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verified: true |
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co2_eq_emissions: 5.632805352029529 |
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--- |
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|
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# Model Trained Using AutoTrain |
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|
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- Problem type: Multi-class Classification |
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- Model ID: 940131045 |
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- CO2 Emissions (in grams): 5.632805352029529 |
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|
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## Validation Metrics |
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|
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- Loss: 0.3392622470855713 |
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- Accuracy: 0.9199410609037328 |
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- Macro F1: 0.9199390885956755 |
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- Micro F1: 0.9199410609037327 |
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- Weighted F1: 0.9198140295005729 |
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- Macro Precision: 0.9235531521509113 |
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- Micro Precision: 0.9199410609037328 |
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- Weighted Precision: 0.9228777883152248 |
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- Macro Recall: 0.919570805773292 |
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- Micro Recall: 0.9199410609037328 |
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- Weighted Recall: 0.9199410609037328 |
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## Usage |
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You can use cURL to access this model: |
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|
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``` |
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$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/models/philschmid/autotrain-does-it-work-940131045 |
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``` |
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Or Python API: |
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``` |
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from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline |
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model_id = 'philschmid/DistilBERT-Banking77' |
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tokenizer = AutoTokenizer.from_pretrained(model_id) |
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model = AutoModelForSequenceClassification.from_pretrained(model_id) |
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classifier = pipeline('text-classification', tokenizer=tokenizer, model=model) |
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classifier('What is the base of the exchange rates?') |
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``` |
