model update
Browse files
README.md
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@@ -1,6 +1,6 @@
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---
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datasets:
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- tner/
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metrics:
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- f1
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- precision
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name: Token Classification
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type: token-classification
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dataset:
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name: ttc
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type: ttc
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args: ttc
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metrics:
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- name: F1
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type: f1
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@@ -52,7 +52,7 @@ widget:
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# tner/roberta-large-ttc
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This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the
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[tner/ttc](https://huggingface.co/datasets/tner/
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Model fine-tuning is done via [T-NER](https://github.com/asahi417/tner)'s hyper-parameter search (see the repository
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for more detail). It achieves the following results on the test set:
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- F1 (micro): 0.8314534321624235
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---
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datasets:
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- tner/ttc
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metrics:
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- f1
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- precision
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name: Token Classification
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type: token-classification
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dataset:
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name: tner/ttc
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type: tner/ttc
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args: tner/ttc
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metrics:
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- name: F1
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type: f1
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# tner/roberta-large-ttc
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This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the
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[tner/ttc](https://huggingface.co/datasets/tner/ttc) dataset.
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Model fine-tuning is done via [T-NER](https://github.com/asahi417/tner)'s hyper-parameter search (see the repository
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for more detail). It achieves the following results on the test set:
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- F1 (micro): 0.8314534321624235
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