readme: add initial version of model card (#1)

- readme: add initial version of model card (130d143b188c463251ecc1d3f314ec96b2e8cd32)

README.md

@@ -0,0 +1,62 @@
+---
+language:
+- en
+- ka
+license: mit
+tags:
+- flair
+- token-classification
+- sequence-tagger-model
+base_model: xlm-roberta-large
+widget:
+- text: ამით თავისი ქადაგება დაასრულა და დაბრუნდა იერუსალიმში . ერთ-ერთ გარე კედელზე
+    არსებობს ერნესტო ჩე გევარას პორტრეტი . შაკოსკა“ ინახება ბრაზილიაში , სან-პაულუს
+    ხელოვნების მუზეუმში .
+---
+
+# Fine-tuned English-Georgian NER Model with Flair
+
+This Flair NER model was fine-tuned on the WikiANN dataset
+([Rahimi et al.](https://www.aclweb.org/anthology/P19-1015) splits)
+using XLM-R Large as backbone LM.
+
+**Notice**: The dataset is very problematic, because it was automatically constructed.
+
+We did manually inspect the development split of the Georgian data and found
+a lot of bad labeled examples, e.g. DVD ( 💿 ) as `ORG`.
+
+## Fine-Tuning
+
+The latest
+[Flair version](https://github.com/flairNLP/flair/tree/f30f5801df3f9e105ed078ec058b4e1152dd9159)
+is used for fine-tuning.
+
+We use English and Georgian training splits for fine-tuning and the
+development set of Georgian for evaluation.
+
+A hyper-parameter search over the following parameters with 5 different seeds per configuration is performed:
+
+* Batch Sizes: [`4`]
+* Learning Rates: [`5e-06`]
+
+More details can be found in this [repository](https://github.com/stefan-it/georgian-ner).
+
+## Results
+
+A hyper-parameter search with 5 different seeds per configuration is performed and micro F1-score on development set
+is reported:
+
+| Configuration     | Seed 1          | Seed 2      | Seed 3      | Seed 4     | Seed 5      | Average         |
+|-------------------|-----------------|-------------|-------------|------------|-------------|-----------------|
+| `bs4-e10-lr5e-06` | [**0.9005**][1] | [0.9012][2] | [0.9069][3] | [0.905][4] | [0.9048][5] | 0.9037 ± 0.0027 |
+
+[1]: https://hf.co/stefan-it/autotrain-flair-georgian-ner-xlm_r_large-bs4-e10-lr5e-06-1
+[2]: https://hf.co/stefan-it/autotrain-flair-georgian-ner-xlm_r_large-bs4-e10-lr5e-06-2
+[3]: https://hf.co/stefan-it/autotrain-flair-georgian-ner-xlm_r_large-bs4-e10-lr5e-06-3
+[4]: https://hf.co/stefan-it/autotrain-flair-georgian-ner-xlm_r_large-bs4-e10-lr5e-06-4
+[5]: https://hf.co/stefan-it/autotrain-flair-georgian-ner-xlm_r_large-bs4-e10-lr5e-06-5
+
+The result in bold shows the performance of this model.
+
+Additionally, the Flair [training log](training.log) and [TensorBoard logs](tensorboard) are also uploaded to the model
+hub.