![philschmid's picture](https://cdn-avatars.huggingface.co/v1/production/uploads/1624629516652-5ff5d596f244529b3ec0fb89.png)
philschmid
HF staff
Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator (#4)
b06a232
metadata
language: en
tags:
- autotrain
datasets:
- banking77
widget:
- text: I am still waiting on my card?
co2_eq_emissions: 0.03330651014155927
model-index:
- name: BERT-Banking77
results:
- task:
type: text-classification
name: Text Classification
dataset:
name: BANKING77
type: banking77
metrics:
- type: accuracy
value: 92.64
name: Accuracy
- type: macro-f1
value: 92.64
name: Macro F1
- type: weighted-f1
value: 92.6
name: Weighted F1
- task:
type: text-classification
name: Text Classification
dataset:
name: banking77
type: banking77
config: default
split: test
metrics:
- type: accuracy
value: 0.9275974025974026
name: Accuracy
verified: true
verifyToken: >-
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- type: precision
value: 0.9305185253845069
name: Precision Macro
verified: true
verifyToken: >-
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- type: precision
value: 0.9275974025974026
name: Precision Micro
verified: true
verifyToken: >-
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- type: precision
value: 0.9305185253845071
name: Precision Weighted
verified: true
verifyToken: >-
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- type: recall
value: 0.9275974025974028
name: Recall Macro
verified: true
verifyToken: >-
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- type: recall
value: 0.9275974025974026
name: Recall Micro
verified: true
verifyToken: >-
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- type: recall
value: 0.9275974025974026
name: Recall Weighted
verified: true
verifyToken: >-
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- type: f1
value: 0.927623314966026
name: F1 Macro
verified: true
verifyToken: >-
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- type: f1
value: 0.9275974025974026
name: F1 Micro
verified: true
verifyToken: >-
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- type: f1
value: 0.927623314966026
name: F1 Weighted
verified: true
verifyToken: >-
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- type: loss
value: 0.3199225962162018
name: loss
verified: true
verifyToken: >-
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BERT-Banking77
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 940131041
- CO2 Emissions (in grams): 0.03330651014155927
Validation Metrics
- Loss: 0.3505457043647766
- Accuracy: 0.9263261296660118
- Macro F1: 0.9268371013605569
- Micro F1: 0.9263261296660118
- Weighted F1: 0.9259954221865809
- Macro Precision: 0.9305746406646502
- Micro Precision: 0.9263261296660118
- Weighted Precision: 0.929031563971418
- Macro Recall: 0.9263724620088746
- Micro Recall: 0.9263261296660118
- Weighted Recall: 0.9263261296660118
Usage
You can use cURL to access this model:
$ 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-940131041
Or Python API:
from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline
model_id = 'philschmid/BERT-Banking77'
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForSequenceClassification.from_pretrained(model_id)
classifier = pipeline('text-classification', tokenizer=tokenizer, model=model)
classifier('What is the base of the exchange rates?')