mic-speech_t5-integration / integration.json
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{
"mic": "0.3",
"name": "SpeechT5-ASR",
"usage": "AutoProcessor + AutoModelForSpeechSeq2Seq, batched synthetic audio, greedy decode, one SGD step",
"architecture": "SpeechT5ForSpeechToText",
"checkpoints": {
"microsoft/speecht5_asr": {
"fixture": "hf-internal-testing/mic-speech_t5-slim"
}
},
"fixtures": {
"hf-internal-testing/mic-speech_t5-slim": {
"built_from": "microsoft/speecht5_asr",
"covers": [
"microsoft/speecht5_asr"
],
"build": {
"seed": 17,
"accept_insensitive": {
"input_values:halve": "The speech prenet applies per-channel GroupNorm after convolution, making positive amplitude scaling invariant up to epsilon. The measured half-amplitude delta is 2.09e-7; batch, reversal and padding-mask perturbations remain required and each exceeds 0.003."
}
}
}
},
"integrations": {
"transformers": {
"entry_point": "integrations/transformers/usage.md",
"format": "runnable-markdown",
"requires": [
"transformers>=4.30",
"torch",
"numpy"
],
"targets": [
"fixtures"
],
"variants": {
"default": {},
"eager": {
"attn_implementation": "eager"
},
"bfloat16": {
"dtype": "bfloat16"
}
},
"training": true,
"resources": {
"fixture": {
"memory_gb": 2,
"download_mb": 50
},
"microsoft/speecht5_asr": {
"memory_gb": 4,
"download_mb": 1100
}
}
}
},
"outputs": {
"runtime": {
"compare": "exact"
},
"predicted_tokens": {
"compare": "exact"
},
"predicted_text": {
"compare": "exact"
},
"selected_logits": {
"compare": "allclose",
"atol": 0.0001,
"rtol": 0.0001
},
"training.loss": {
"compare": "allclose",
"atol": 0.0001,
"rtol": 0.0001
},
"training.gradients": {
"compare": "all_true"
},
"training.updated": {
"compare": "true"
}
}
}