Update README.md

README.md

@@ -1,63 +1,14 @@
 ---
-language:
-- ur
 license: apache-2.0
-tags:
-- automatic-speech-recognition
-- hf-asr-leaderboard
-- robust-speech-event
 datasets:
 - mozilla-foundation/common_voice_7_0
+language:
+- ur
 metrics:
-- wer
-- cer
-model-index:
-- name: wav2vec2-urdu
-  results:
-  - task:
-      type: automatic-speech-recognition
-      name: Speech Recognition
-    dataset:
-      type: mozilla-foundation/common_voice_7_0
-      name: Common Voice ur
-      args: ur
-    metrics:
-    - type: wer
-      value: 52.4
-      name: Test WER
-      args:
-      - learning_rate: 0.0003
-      - train_batch_size: 64
-      - eval_batch_size: 8
-      - seed: 42
-      - gradient_accumulation_steps: 2
-      - total_train_batch_size: 128
-      - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-      - lr_scheduler_type: linear
-      - lr_scheduler_warmup_steps: 100
-      - num_epochs: 100
-      - mixed_precision_training: Native AMP
-    - type: cer
-      value: 26.46
-      name: Test CER
-      args:
-      - learning_rate: 0.0003
-      - train_batch_size: 64
-      - eval_batch_size: 8
-      - seed: 42
-      - gradient_accumulation_steps: 2
-      - total_train_batch_size: 128
-      - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-      - lr_scheduler_type: linear
-      - lr_scheduler_warmup_steps: 100
-      - num_epochs: 100
-      - mixed_precision_training: Native AMP
-    - type: wer
-      value: 45.63
-      name: Test WER LM CV8
-    - type: cer
-      value: 20.45
-      name: Test CER LM CV8
+- wer:0.5747
+- cer:0.3268
+library_name: transformers
+pipeline_tag: automatic-speech-recognition
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -108,4 +59,4 @@ The following hyperparameters were used during training:
 - Transformers 4.16.0.dev0
 - Pytorch 1.10.1+cu102
 - Datasets 1.17.1.dev0
-- Tokenizers 0.11.0
+- Tokenizers 0.11.0