File size: 1,770 Bytes
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"mic": "0.3",
"name": "BERT fill-mask",
"usage": "AutoTokenizer + AutoModelForMaskedLM, batched, right padding",
"architecture": "BertForMaskedLM",
"checkpoints": {
"google-bert/bert-base-uncased": {
"fixture": "hf-internal-testing/mic-bert-base-uncased-slim"
}
},
"fixtures": {
"hf-internal-testing/mic-bert-base-uncased-slim": {
"built_from": "google-bert/bert-base-uncased",
"covers": [
"google-bert/bert-base-uncased"
],
"build": {
"seed": 17
}
}
},
"integrations": {
"transformers": {
"entry_point": "integrations/transformers/usage.md",
"format": "runnable-markdown",
"requires": [
"transformers>=5",
"torch"
],
"targets": [
"fixtures",
"checkpoints"
],
"variants": {
"default": {},
"eager": {
"attn_implementation": "eager"
},
"bfloat16": {
"dtype": "bfloat16"
}
},
"training": true,
"resources": {
"fixture": {
"memory_gb": 1,
"download_mb": 20
},
"google-bert/bert-base-uncased": {
"memory_gb": 2,
"download_mb": 440
}
}
}
},
"outputs": {
"runtime": {
"compare": "exact"
},
"predicted_tokens": {
"compare": "exact"
},
"predicted_text": {
"compare": "exact"
},
"answer_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"
}
}
}
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