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README.md
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@@ -41,14 +41,6 @@ The following hyperparameters were used during training:
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## Model performances (metric: seqeval)
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Overall
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precision|recall|f1
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0.8859|0.8971|0.8914
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By entity
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entity|precision|recall|f1
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GeoLoc |0.9727|0.9591|0.9658
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@@ -64,4 +56,5 @@ GeoTime |0.9695|0.9666|0.9680
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from transformers import AutoTokenizer, AutoModelForTokenClassification
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tokenizer = AutoTokenizer.from_pretrained("botryan96/GeoBERT")
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model = AutoModelForTokenClassification.from_pretrained("botryan96/GeoBERT")
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## Model performances (metric: seqeval)
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entity|precision|recall|f1
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GeoLoc |0.9727|0.9591|0.9658
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from transformers import AutoTokenizer, AutoModelForTokenClassification
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tokenizer = AutoTokenizer.from_pretrained("botryan96/GeoBERT")
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model = AutoModelForTokenClassification.from_pretrained("botryan96/GeoBERT")
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```
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