{
  "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"
    }
  }
}