Upload README.md

README.md

@@ -1,11 +1,11 @@
 ---
-language: 
+language:
 - sv-SE
-
 license: apache-2.0
 tags:
 - automatic-speech-recognition
 - robust-speech-event
+- hf-asr-leaderboard
 datasets:
 - mozilla-foundation/common_voice_8_0
 metrics:
@@ -14,58 +14,58 @@ metrics:
 model-index:
 - name: wav2vec2-large-xls-r-1b-Swedish
   results:
-  - task: 
-      type: automatic-speech-recognition  # Required. Example: automatic-speech-recognition
-      name: Speech Recognition  # Optional. Example: Speech Recognition
+  - task:
+      type: automatic-speech-recognition
+      name: Speech Recognition
     dataset:
-      type: mozilla-foundation/common_voice_8_0  # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
-      name: Common Voice sv-SE # Required. Example: Common Voice zh-CN
-      args: sv-SE       # Optional. Example: zh-CN
+      type: mozilla-foundation/common_voice_8_0
+      name: Common Voice sv-SE
+      args: sv-SE
     metrics:
-      - type: wer    # Required. Example: wer
-        value: 14.04  # Required. Example: 20.90
-        name: Test WER With LM   # Optional. Example: Test WER
-        args: 
-        - learning_rate: 7.5e-05
-        - train_batch_size: 32
-        - eval_batch_size: 8
-        - seed: 42
-        - gradient_accumulation_steps: 4
-        - 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: 1000
-        - num_epochs: 50
-        - mixed_precision_training: Native AMP    # Optional. Example for BLEU: max_order
-      - type: cer    # Required. Example: wer
-        value: 4.86  # Required. Example: 20.90
-        name: Test CER  With LM   # Optional. Example: Test WER
-        args: 
-        - learning_rate: 7.5e-05
-        - train_batch_size: 32
-        - eval_batch_size: 8
-        - seed: 42
-        - gradient_accumulation_steps: 4
-        - 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: 1000
-        - num_epochs: 50
-        - mixed_precision_training: Native AMP
-  - task: 
-     name: Automatic Speech Recognition
-     type: automatic-speech-recognition
+    - type: wer
+      value: 14.04
+      name: Test WER With LM
+      args:
+      - learning_rate: 7.5e-05
+      - train_batch_size: 32
+      - eval_batch_size: 8
+      - seed: 42
+      - gradient_accumulation_steps: 4
+      - 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: 1000
+      - num_epochs: 50
+      - mixed_precision_training: Native AMP
+    - type: cer
+      value: 4.86
+      name: Test CER  With LM
+      args:
+      - learning_rate: 7.5e-05
+      - train_batch_size: 32
+      - eval_batch_size: 8
+      - seed: 42
+      - gradient_accumulation_steps: 4
+      - 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: 1000
+      - num_epochs: 50
+      - mixed_precision_training: Native AMP
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
     dataset:
-       name: Robust Speech Event - Dev Data
-       type: speech-recognition-community-v2/dev_data
-       args: sv
+      name: Robust Speech Event - Dev Data
+      type: speech-recognition-community-v2/dev_data
+      args: sv
     metrics:
-        - name: Test WER
-          type: wer
-          value: 29.69
-        - name: Test CER
-          type: cer
-          value: 12.59
+    - name: Test WER
+      type: wer
+      value: 29.69
+    - name: Test CER
+      type: cer
+      value: 12.59
 ---
 
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