asahi417 commited on
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f6e0afa
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model update

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  1. README.md +5 -5
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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  datasets:
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- - tner/ttc_dummy
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  metrics:
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  - f1
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  - precision
@@ -12,9 +12,9 @@ model-index:
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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
@@ -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/ttc_dummy) 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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  ---
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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