Update README.md

README.md

@@ -6,4 +6,81 @@ language:
 metrics:
 - wer
 library_name: transformers
----
+
+license: apache-2.0
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+
+model-index:
+- name: Whisper Medium Urdu - Hassaan Butt
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: fleurs
+      type: mozilla-foundation/common_voice_11_0
+      config: ur
+      split: test
+      args: 'config: ps, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 32.0
+
+---
+
+<!-- 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 Medium Pashto - Hassaan Butt
+
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the common voice dataset.
+It achieves the following results on the evaluation set:
+
+- Wer: 32.0
+
+## 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: 8
+- 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: 3000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.283800      | 2.92  | 1000 | 0.466280      | 51.433879 |
+| 0.090300      | 5.85  | 2000 | 0.448847      | 33.646813 |
+| 0.036666      | 8.77  | 3000 | 0.420809        | 32.035004 |
+
+
+
+### Framework versions
+
+- Transformers 4.26.0.dev0
+- Pytorch 1.11.0+cu113
+- Datasets 2.8.0
+- Tokenizers 0.13.2