stefan-it
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flair-co-funer-german_bert_base-bs16-e10-lr3e-05-5

Token Classification

sequence-tagger-model

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readme: add dataset information to metadata

#2

by stefan-it - opened Mar 28

base: refs/heads/main

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from: refs/pr/2

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README.md +3 -1

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@@ -9,6 +9,8 @@ tags:
 - hetzner-gex44
 - hetzner-gpu
 base_model: google-bert/bert-base-german-cased
 widget:
 - text: Wesentliche Tätigkeiten der Compliance-Funktion wurden an die Mercurtainment
     AG , Düsseldorf , ausgelagert .
@@ -40,7 +42,7 @@ fine-tuning.
 A hyper-parameter search over the following parameters with 5 different seeds per configuration is performed:
 * Batch Sizes: [`16`, `8`]
-* Learning Rates: [`3e-05`, `5e-05`]
 More details can be found in this [repository](https://github.com/stefan-it/co-funer). All models are fine-tuned on a
 [Hetzner GX44](https://www.hetzner.com/dedicated-rootserver/matrix-gpu/) with an NVIDIA RTX 4000.

 - hetzner-gex44
 - hetzner-gpu
 base_model: google-bert/bert-base-german-cased
+datasets:
+- stefan-it/co-funer
 widget:
 - text: Wesentliche Tätigkeiten der Compliance-Funktion wurden an die Mercurtainment
     AG , Düsseldorf , ausgelagert .
 A hyper-parameter search over the following parameters with 5 different seeds per configuration is performed:
 * Batch Sizes: [`16`, `8`]
+* Learning Rates: [`5e-05`, `3e-05`]
 More details can be found in this [repository](https://github.com/stefan-it/co-funer). All models are fine-tuned on a
 [Hetzner GX44](https://www.hetzner.com/dedicated-rootserver/matrix-gpu/) with an NVIDIA RTX 4000.