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README.md
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language:
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- en
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widget:
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- text:
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datasets:
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- NicholasSynovic/autotrain-data-luc-comp429-victorian-authorship-classification
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co2_eq_emissions:
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emissions: 4.1359796275464005
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---
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# Model Trained Using AutoTrain
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- Model ID: 52472123757
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- CO2 Emissions (in grams): 4.1360
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## Validation Metrics
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- Loss: 1.425
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```
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from transformers import AutoModelForSequenceClassification, AutoTokenizer
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model = AutoModelForSequenceClassification.from_pretrained("NicholasSynovic/
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tokenizer = AutoTokenizer.from_pretrained("NicholasSynovic/autotrain-luc-comp429-victorian-authorship-classification-52472123757", use_auth_token=True)
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language:
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- en
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widget:
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- text: I love AutoTrain
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datasets:
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- NicholasSynovic/autotrain-data-luc-comp429-victorian-authorship-classification
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co2_eq_emissions:
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emissions: 4.1359796275464005
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license: agpl-3.0
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metrics:
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- accuracy
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- f1
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- recall
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- bertscore
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pipeline_tag: text-classification
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---
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# Model Trained Using AutoTrain
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- Model ID: 52472123757
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- CO2 Emissions (in grams): 4.1360
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This model reuses and extends a Bert model trained on [NicholasSynovic/Free-AutoTrain-VEAA](https://huggingface.co/datasets/NicholasSynovic/Free-AutoTrain-VEAA)
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## Validation Metrics
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- Loss: 1.425
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```
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from transformers import AutoModelForSequenceClassification, AutoTokenizer
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model = AutoModelForSequenceClassification.from_pretrained("NicholasSynovic/AutoTrain-LUC-COMP429-VEAA-Classification", use_auth_token=True)
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tokenizer = AutoTokenizer.from_pretrained("NicholasSynovic/autotrain-luc-comp429-victorian-authorship-classification-52472123757", use_auth_token=True)
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