Create README.md

README.md

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+---
+language:
+- tt
+license: apache-2.0
+tags:
+- hf-asr-leaderboard
+- whisper-event
+datasets:
+- mozilla-foundation/common_voice_11_0
+metrics:
+- wer
+model-index:
+- name: Whisper Small Tatar - Kirill Milintsevich
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 11.0
+      type: mozilla-foundation/common_voice_11_0
+      args: 'Config: tt'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 29.091166477916197
+---
+
+# Whisper Small Tatar - Kirill Milintsevich
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4745
+- Wer: 29.1407
+
+## 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: 1e-05
+- train_batch_size: 64
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.0415        | 4.98  | 1000 | 0.3252          | 29.9512 |
+| 0.0041        | 9.95  | 2000 | 0.3982          | 29.4805 |
+| 0.0007        | 14.93 | 3000 | 0.4457          | 29.1513 |
+| 0.0003        | 19.9  | 4000 | 0.4665          | 29.0912 |
+| 0.0002        | 24.88 | 5000 | 0.4745          | 29.1407 |