mpnet-base-mic / build.json
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Publish MIC usage, slim fixture and reviewed Transformers expectations
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{
"fixture": "huggingface-mic/mpnet-base-mic",
"key": "f651cf653329690ffdac8316da0dfe3bedf2a7d22cbcfb81644af500233f2eaa",
"key_fields": {
"architectures": [
"MPNetForMaskedLM"
],
"output_hidden_states": false,
"return_dict": true,
"chunk_size_feed_forward": 0,
"is_encoder_decoder": false,
"id2label": {
"0": "LABEL_0",
"1": "LABEL_1"
},
"label2id": {
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"LABEL_1": 1
},
"problem_type": null,
"vocab_size": 30527,
"hidden_size": 64,
"num_hidden_layers": 2,
"num_attention_heads": 4,
"intermediate_size": 128,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"attention_probs_dropout_prob": 0.1,
"max_position_embeddings": 514,
"initializer_range": 0.02,
"layer_norm_eps": 1e-05,
"relative_attention_num_buckets": 32,
"pad_token_id": 1,
"bos_token_id": 0,
"eos_token_id": 2,
"tie_word_embeddings": true,
"model_type": "mpnet",
"output_attentions": false
},
"covers": {
"microsoft/mpnet-base": "6996ce1e91bd2a9c7d7f61daec37463394f73f09"
},
"built_from": {
"repo": "microsoft/mpnet-base",
"revision": "6996ce1e91bd2a9c7d7f61daec37463394f73f09"
},
"seed": 17,
"dtype": "float32",
"builder": "example/build_fixtures.py",
"model_class": "MPNetForMaskedLM",
"parameters": 2088639,
"missing_parameters": [],
"checkpoint_inspection": "parameter headers/indexes; bounded binary fallback",
"numeric_health_scope": "CPU float32/bfloat16/float16; autocast for low-precision losses",
"captured": {
"call": "training step",
"inputs": [
"attention_mask",
"input_ids",
"labels"
],
"class": "MPNetForMaskedLM"
},
"weights": "random",
"gate": {
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"pass": true,
"accepted_insensitive": {},
"threshold": 0.001,
"deltas": {
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"input_ids:reverse": 1.0667192935943604,
"attention_mask:all_ones": 0.003877967596054077
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"weakest": "attention_mask:all_ones",
"no_perturbation_defined": []
}
},
"numeric_health": {
"float32": {
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"loss_finite": true,
"gradients_finite": true,
"finite": true
},
"bfloat16": {
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"loss_finite": true,
"gradients_finite": true,
"finite": true
},
"float16": {
"outputs_finite": true,
"loss_finite": true,
"unscaled_gradients_finite": true,
"finite": true
}
},
"copied_unchanged": [
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
],
"environment": {
"python": "3.12.12",
"machine": "arm64",
"torch": "2.14.1",
"transformers": "5.22.0.dev0",
"tokenizers": "0.23.3"
},
"sha256": {
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"model.safetensors": "dd73d8ca71d581e211b9d528ccd10d65c1554f232123ceb930809e255d0f4d7f",
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"vocab.txt": "dbd90cb94e2247bd4d4ccaecbf616d2290e66691d7d5e5bb81f063c2d0649ada"
}
}