readme model

README.md

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+---
+library_name: transformers
+language:
+- ug
+license: apache-2.0
+base_model: 
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_15_0
+metrics:
+- wer
+model-index:
+- name: Whisper Small Uyghur Common Voice 15
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 15
+      type: mozilla-foundation/common_voice_15_0
+    metrics:
+    - name: Wer
+      type: wer
+      value: 34.99609273248242
+---
+
+<!-- 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. -->
+
+# Uyghur Automatic Speech Recognition
+
+Uyghur ASR using CTC loss trained with THUYG20 dataset
+It achieves the following results on the evaluation set:
+- Best CER: 7.21%
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 20
+- eval_batch_size: 20
+- seed: 42
+- optimizer: Adam with weight_decay=0.000001
+
+### Training results
+
+Best CER: 7.21%
+Trained: 473 epochs
+The model has 26,389,282 trainable parameters

UModel_last.pth

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