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@@ -11,6 +11,29 @@ tags:
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  - qwen3
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  - audio
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  - reinforcement-learning
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  license: apache-2.0
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  ---
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@@ -20,6 +43,7 @@ Musci-ASR-2.4B is an English speech-to-text model that pairs a Qwen3-1.7B-base l
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  The model has approximately 2.4B parameters and is distributed as a single `bfloat16` safetensors shard of approximately 4.84 GB.
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  ## Model Details
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  - **Developed by:** Musci Research
 
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  - qwen3
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  - audio
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  - reinforcement-learning
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+ datasets:
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+ - openslr/librispeech_asr
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+ - speechcolab/gigaspeech
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+ - mozilla-foundation/common_voice_17_0
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+ - facebook/voxpopuli
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+ - LIUM/tedlium
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+ - edinburghcstr/ami
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+ - anton-l/earnings22
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+ - kensho/spgispeech
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: Musci-ASR-2.4B
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+ results:
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+ - task:
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+ type: automatic-speech-recognition
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+ dataset:
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+ name: Open ASR Leaderboard
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+ type: hf-audio/esb-datasets-test-only-sorted
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+ metrics:
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+ - type: wer
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+ value: 5.44
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+ name: Average WER
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  license: apache-2.0
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  ---
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  The model has approximately 2.4B parameters and is distributed as a single `bfloat16` safetensors shard of approximately 4.84 GB.
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+
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  ## Model Details
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  - **Developed by:** Musci Research