Update README.md

README.md

@@ -10,120 +10,120 @@ tags:
 pipeline_tag: audio-text-to-text
 base_model:
 - Qwen/Qwen3-4B
-model-index:
-- name: SYMPHONY-ASR
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: AMI (Meetings test)
-      type: edinburghcstr/ami
-      config: ihm
-      split: test
-      args:
-        language: en
-    metrics:
-    - name: Test WER
-      type: wer
-      value: 10.8
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: Earnings-22
-      type: revdotcom/earnings22
-      split: test
-      args:
-        language: en
-    metrics:
-    - name: Test WER
-      type: wer
-      value: 10.7
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: GigaSpeech
-      type: speechcolab/gigaspeech
-      split: test
-      args:
-        language: en
-    metrics:
-    - name: Test WER
-      type: wer
-      value: 10.7
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: LibriSpeech (clean)
-      type: librispeech_asr
-      config: other
-      split: test
-      args:
-        language: en
-    metrics:
-    - name: Test WER
-      type: wer
-      value: 2.26
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: LibriSpeech (other)
-      type: librispeech_asr
-      config: other
-      split: test
-      args:
-        language: en
-    metrics:
-    - name: Test WER
-      type: wer
-      value: 4.87
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: Vox Populi
-      type: facebook/voxpopuli
-      config: en
-      split: test
-      args:
-        language: en
-    metrics:
-    - name: Test WER
-      type: wer
-      value: 6.55
-  - task:
-      type: Automatic Speech Recognition
-      name: automatic-speech-recognition
-    dataset:
-      name: tedlium-v3
-      type: LIUM/tedlium
-      config: release1
-      split: test
-      args:
-        language: en
-    metrics:
-    - name: Test WER
-      type: wer
-      value: 3.97
-  - task:
-      type: Automatic Speech Recognition
-      name: automatic-speech-recognition
-    dataset:
-      name: SPGI Speech
-      type: kensho/spgispeech
-      config: test
-      split: test
-      args:
-        language: en
-    metrics:
-    - name: Test WER
-      type: wer
-      value: 2.33
-new_version: okestro-ai-lab/SYMPHONY-ASR
+# model-index:
+# - name: SYMPHONY-ASR
+#   results:
+#   - task:
+#       name: Automatic Speech Recognition
+#       type: automatic-speech-recognition
+#     dataset:
+#       name: AMI (Meetings test)
+#       type: edinburghcstr/ami
+#       config: ihm
+#       split: test
+#       args:
+#         language: en
+#     metrics:
+#     - name: Test WER
+#       type: wer
+#       value: 10.8
+#   - task:
+#       name: Automatic Speech Recognition
+#       type: automatic-speech-recognition
+#     dataset:
+#       name: Earnings-22
+#       type: revdotcom/earnings22
+#       split: test
+#       args:
+#         language: en
+#     metrics:
+#     - name: Test WER
+#       type: wer
+#       value: 10.7
+#   - task:
+#       name: Automatic Speech Recognition
+#       type: automatic-speech-recognition
+#     dataset:
+#       name: GigaSpeech
+#       type: speechcolab/gigaspeech
+#       split: test
+#       args:
+#         language: en
+#     metrics:
+#     - name: Test WER
+#       type: wer
+#       value: 10.7
+#   - task:
+#       name: Automatic Speech Recognition
+#       type: automatic-speech-recognition
+#     dataset:
+#       name: LibriSpeech (clean)
+#       type: librispeech_asr
+#       config: other
+#       split: test
+#       args:
+#         language: en
+#     metrics:
+#     - name: Test WER
+#       type: wer
+#       value: 2.26
+#   - task:
+#       name: Automatic Speech Recognition
+#       type: automatic-speech-recognition
+#     dataset:
+#       name: LibriSpeech (other)
+#       type: librispeech_asr
+#       config: other
+#       split: test
+#       args:
+#         language: en
+#     metrics:
+#     - name: Test WER
+#       type: wer
+#       value: 4.87
+#   - task:
+#       name: Automatic Speech Recognition
+#       type: automatic-speech-recognition
+#     dataset:
+#       name: Vox Populi
+#       type: facebook/voxpopuli
+#       config: en
+#       split: test
+#       args:
+#         language: en
+#     metrics:
+#     - name: Test WER
+#       type: wer
+#       value: 6.55
+#   - task:
+#       type: Automatic Speech Recognition
+#       name: automatic-speech-recognition
+#     dataset:
+#       name: tedlium-v3
+#       type: LIUM/tedlium
+#       config: release1
+#       split: test
+#       args:
+#         language: en
+#     metrics:
+#     - name: Test WER
+#       type: wer
+#       value: 3.97
+#   - task:
+#       type: Automatic Speech Recognition
+#       name: automatic-speech-recognition
+#     dataset:
+#       name: SPGI Speech
+#       type: kensho/spgispeech
+#       config: test
+#       split: test
+#       args:
+#         language: en
+#     metrics:
+#     - name: Test WER
+#       type: wer
+#       value: 2.33
+# new_version: okestro-ai-lab/SYMPHONY-ASR
 ---
 
 * SYMPHONY is an designed for efficient and accurate speech-to-text transcription.