Update README.md

README.md

@@ -3,4 +3,28 @@ license: apache-2.0
 base_model:
 - AiLab-IMCS-UL/whisper-large-v3-lv-late-cv19
 pipeline_tag: automatic-speech-recognition
----
+---
+
+# General-purpose Latgalian ASR model
+
+This is a fine-tuned [whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) model for [Latgalian](https://en.wikipedia.org/wiki/Latgalian_language), trained by [AiLab.lv](https://ailab.lv) using two general-purpose speech datasets: 
+- the Latgalian part of [Common Voice 20.0](https://commonvoice.mozilla.org/ltg/datasets), 
+- the Corpus of Contemporary Latgalian Speech [MuLaR](https://korpuss.lv/id/MuLaR).
+
+## Training
+
+As a base model, we used a previously fine-tuned ASR model for [Latvian](https://huggingface.co/AiLab-IMCS-UL/whisper-large-v3-lv-late-cv19), and continued to fine-tune it for Latgalian. The fine-tuning was done using the Hugging Face Transformers library.
+
+| Training data | Hours |
+|:---|---:|
+| Latgalian Common Voice 20.0 train set (a [VW split](https://analyzer.cv-toolbox.web.tr)) | 22.9 |
+| Corpus of Contemporary Latgalian Speech (MuLaR) train set | 17.3 |
+| Total | 40.2 |
+
+## Evaluation
+
+TBA
+
+## Acknowledgements
+
+This work was supported by the EU Recovery and Resilience Facility project [Language Technology Initiative](https://www.vti.lu.lv) (2.3.1.1.i.0/1/22/I/CFLA/002) in synergy with the State Research Programme project [LATE](https://www.digitalhumanities.lv/projekti/vpp-late/) (VPP-LETONIKA-2021/1-0006).