Updated README

README.md

@@ -9,16 +9,27 @@ pipeline_tag: automatic-speech-recognition
 
 # General-purpose Latvian ASR model
 
-This is a fine-tuned [whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) model for Latvian, trained by [AiLab.lv](https://ailab.lv) using two general-purpose speech datasets: the Latvian part of [Common Voice 17.0](https://commonvoice.mozilla.org/lv/datasets) (167 hours), and a Latvian broadcast dataset [LATE-Media](https://korpuss.lv/id/LATE-mediji) (42 hours).
+This is a fine-tuned [whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) model for Latvian, trained by [AiLab.lv](https://ailab.lv) using two general-purpose speech datasets: the Latvian part of [Common Voice 17.0](https://commonvoice.mozilla.org/lv/datasets), and a Latvian broadcast dataset [LATE-Media](https://korpuss.lv/id/LATE-mediji).
 
 We also provide a quantized version of the model in the GGML format.
 
+## Training
+
+Fine-tuning was done using the Hugging Face Transformers [library](https://github.com/huggingface/transformers/tree/main/examples/pytorch/speech-recognition#sequence-to-sequence).
+
+Training data:
+| Dataset | Hours |
+|:---|---:|
+| Latvian CV 17.0 train set (the [V1 split](https://analyzer.cv-toolbox.web.tr/examine/lv/17.0)) | 167 |
+| LATE-Media train set | 42 |
+| Total | 209 |
+
 ## Evaluation
 
-The model is evaluated on both a Latvian CV 17.0 test set (the V1 split) and a [LATE-Media test set](http://hdl.handle.net/20.500.12574/99).
+The model is evaluated on both a Latvian CV 17.0 test set (the [V1 split](https://analyzer.cv-toolbox.web.tr/examine/lv/17.0)) and a [LATE-Media test set](http://hdl.handle.net/20.500.12574/99).
 
-| Test set | WER | CER |
-|---|---|---|
+| Dataset | WER | CER |
+|:---|---:|---:|
 | Latvian CV 17.0 V1 - formatted | 5.0 | 1.6 |
 | Latvian CV 17.0 V1 - normalized | 3.4 | 1.0 |
 | LATE-Media 1.0 - formatted | 20.8 | 8.2 |