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README.md

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+---
+language:
+- uz
+license: apache-2.0
+tags:
+- automatic-speech-recognition
+- mozilla-foundation/common_voice_8_0
+- generated_from_trainer
+- robust-speech-event
+datasets:
+- mozilla-foundation/common_voice_8_0
+model-index:
+- name: XLS-R-300M Uzbek CV8
+  results:
+  - task: 
+      name: Automatic Speech Recognition 
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 8
+      type: mozilla-foundation/common_voice_8_0
+      args: uz
+    metrics:
+       - name: Test WER
+         type: wer
+         value: 40.56
+       - name: Test CER
+         type: cer
+         value: 8.25
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# XLS-R-300M Uzbek CV8
+
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - UG dataset.
+
+## Model description
+
+For a description of the model architecture, see [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m)
+
+The model vocabulary consists of the [Modern Latin alphabet for Uzbek](https://en.wikipedia.org/wiki/Uzbek_alphabet), with punctuation removed. 
+Note that the characters ‘ and ’ do not count as punctuation, as ‘ modifies <o> and <g>, and ’ indicates the glottal stop.
+
+## Intended uses & limitations
+
+This model is expected to be of some utility for low-fidelity use cases such as:
+- Draft video captions
+- Indexing of recorded broadcasts
+
+The model is not reliable enough to use as a substitute for live captions for accessibility purposes, and it should not be used in a manner that would infringe the privacy of any of the contributors to the Common Voice dataset nor any other speakers.
+
+## Training and evaluation data
+
+The 30% of the `train` common voice official split was used as training data. The half of the official `dev` split was used as validation data, and the full `test` set was used for final evaluation.
+
+
+### Framework versions
+
+- Transformers 4.17.0.dev0
+- Pytorch 1.10.2+cu102
+- Datasets 1.18.3
+- Tokenizers 0.11.0
+