Update README.md

README.md

@@ -1,38 +1,72 @@
-Whisper Small Tr - Saadin</br></br>
-This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:</br></br>
-
-Loss: 0.2572</br>
-Wer: 23.18</br>
-Model description</br>
-More information needed</br></br>
-
-Intended uses & limitations</br>
-More information needed</br></br>
-
-Training and evaluation data</br>
-More information needed</br></br>
-
-Training procedure</br>
-Training hyperparameters</br>
-The following hyperparameters were used during training:</br></br>
-
-learning_rate: 1e-05</br>
-train_batch_size: 16</br>
-eval_batch_size: 16</br>
-seed: 42</br>
-optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08</br>
-lr_scheduler_type: linear</br>
-lr_scheduler_warmup_steps: 500</br>
-training_steps: 1000</br>
-mixed_precision_training: Native AMP</br></br>
-
-Training results</br>
-Training Loss --Epoch---Validation Loss--Wer </br>
-0.1743----------1000-----0.2572------- -23.18</br></br>
-
-
-Framework versions</br>
-Transformers 4.25.0.dev0</br>
-Pytorch 1.12.1</br>
-Datasets 2.5.3.dev0</br>
-Tokenizers 0.12.1</br>
+---
+language:
+- tr
+license: apache-2.0
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
+metrics:
+- wer
+model-index:
+- name: Whisper Small Tr - Saadin
+  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: tr'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 23.18
+---
+
+<!-- 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 Hi - Sanchit Gandhi
+
+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:
+- Wer: 23.18
+
+## 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: 16
+- eval_batch_size: 16
+- 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: 1000
+- mixed_precision_training: Native AMP
+### Training results
+| Training Loss | Epoch | Validation Loss | Wer     |
+|:-------------:|:-----:|:---------------:|:-------:|
+| 0.17          | 1000   | 0.2572         | 23.18 |
+
+### Framework versions
+- Transformers 4.25.0.dev0
+- Pytorch 1.12.1
+- Datasets 2.5.3.dev0
+- Tokenizers 0.12.1