update model card README.md

README.md

@@ -1,39 +1,24 @@
 ---
-language:
-- ur
 license: apache-2.0
+base_model: openai/whisper-small
 tags:
-- hf-asr-leaderboard
 - generated_from_trainer
-datasets:
-- mozilla-foundation/common_voice_7_0
 metrics:
 - wer
 model-index:
-- name: Whisper Small Ur - Bakht Ullah
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: Common Voice 7.0
-      type: mozilla-foundation/common_voice_7_0
-      args: 'config: ur, split: test'
-    metrics:
-    - name: Wer
-      type: wer
-      value: 47.34088927637315
+- name: whisper-small-ur
+  results: []
 ---
 
 <!-- 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 Ur - Bakht Ullah
+# whisper-small-ur
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 7.0 dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8930
-- Wer: 47.3409
+- Loss: 0.0029
+- Wer: 76.1310
 
 ## Model description
 
@@ -59,21 +44,24 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 100
-- training_steps: 300
-- mixed_precision_training: Native AMP
+- training_steps: 700
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer      |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6104        | 4.17  | 100  | 1.1037          | 163.3827 |
-| 0.0242        | 8.33  | 200  | 0.8656          | 47.6024  |
-| 0.0042        | 12.5  | 300  | 0.8930          | 47.3409  |
+| 1.1678        | 2.27  | 100  | 1.0347          | 110.8789 |
+| 0.3171        | 4.55  | 200  | 0.2896          | 54.6101  |
+| 0.1408        | 6.82  | 300  | 0.0993          | 98.5782  |
+| 0.0447        | 9.09  | 400  | 0.0261          | 38.4102  |
+| 0.0101        | 11.36 | 500  | 0.0083          | 74.2783  |
+| 0.004         | 13.64 | 600  | 0.0035          | 72.9642  |
+| 0.0031        | 15.91 | 700  | 0.0029          | 76.1310  |
 
 
 ### Framework versions
 
-- Transformers 4.25.0.dev0
-- Pytorch 1.12.1+cu113
-- Datasets 2.6.1
-- Tokenizers 0.13.2
+- Transformers 4.32.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.1
+- Tokenizers 0.13.3