abduaziz
/

whisper-small-uzbek

@@ -1,201 +1,90 @@
 ---
 library_name: transformers
 tags:
 - automatic-speech-recognition
 - whisper
 ---
-# Model Card for Model ID
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 ---
 library_name: transformers
+language:
+- uz
+license: apache-2.0
+base_model: openai/whisper-small
 tags:
+- generated_from_trainer
 - automatic-speech-recognition
 - whisper
+datasets:
+- mozilla-foundation/common_voice_17_0
+metrics:
+- wer
+model-index:
+- name: Whisper Small Uzbek
+  results:
+  - task:
+      type: automatic-speech-recognition
+      name: Automatic Speech Recognition
+    dataset:
+      name: Common Voice 17.0
+      type: mozilla-foundation/common_voice_17_0
+      args: 'config: uz, split: test'
+    metrics:
+    - type: wer
+      value: 35.8660
+      name: Wer
 ---
+<!-- 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. -->
+# Whisper Small Uzbek
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 17.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3776
+- Wer: 35.8660
+## Model description
+More information needed
+## Intended uses & limitations
+More information needed
+## Training and evaluation data
+More information needed
+## Training procedure
+### Training hyperparameters
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1500
+- training_steps: 5500
+- mixed_precision_training: Native AMP
+### Training results
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.913         | 0.2   | 500  | 0.8213          | 62.5843 |
+| 0.6404        | 0.4   | 1000 | 0.6082          | 51.8716 |
+| 0.5734        | 0.6   | 1500 | 0.5458          | 48.0513 |
+| 0.5051        | 0.8   | 2000 | 0.4846          | 43.8649 |
+| 0.4407        | 1.0   | 2500 | 0.4483          | 41.3901 |
+| 0.3436        | 1.2   | 3000 | 0.4321          | 41.0277 |
+| 0.3092        | 1.4   | 3500 | 0.4184          | 40.1141 |
+| 0.2861        | 1.6   | 4000 | 0.4091          | 39.9753 |
+| 0.289         | 1.8   | 4500 | 0.3811          | 36.7950 |
+| 0.2816        | 2.0   | 5000 | 0.3730          | 36.7102 |
+| 0.1547        | 2.2   | 5500 | 0.3776          | 35.8660 |
+### Framework versions
+- Transformers 4.47.0
+- Pytorch 2.1.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0