t5-mic / build.json
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Consolidate MIC usage, slim weights and reviewed framework expectations
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{
"fixture": "hf-internal-testing/mic-t5-slim",
"key": "c5306fc184517367b7284eb6dadf3108aefc3e6a7a788afac8474637ddc09a5b",
"key_fields": {
"architectures": [
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],
"output_hidden_states": false,
"return_dict": true,
"chunk_size_feed_forward": 0,
"is_encoder_decoder": true,
"id2label": {
"0": "LABEL_0",
"1": "LABEL_1"
},
"label2id": {
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"LABEL_1": 1
},
"problem_type": null,
"vocab_size": 32128,
"d_model": 64,
"d_kv": 16,
"d_ff": 128,
"num_layers": 2,
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"num_heads": 4,
"relative_attention_num_buckets": 32,
"relative_attention_max_distance": 128,
"dropout_rate": 0.1,
"layer_norm_epsilon": 1e-06,
"initializer_factor": 1.0,
"feed_forward_proj": "relu",
"use_cache": true,
"pad_token_id": 0,
"eos_token_id": 1,
"classifier_dropout": 0.0,
"is_decoder": false,
"dense_act_fn": "relu",
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"scale_decoder_outputs": true,
"tie_word_embeddings": true,
"decoder_start_token_id": 0,
"model_type": "t5",
"n_positions": 512,
"output_past": true,
"task_specific_params": {
"summarization": {
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"length_penalty": 2.0,
"max_length": 200,
"min_length": 30,
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"prefix": "summarize: "
},
"translation_en_to_de": {
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"max_length": 300,
"num_beams": 4,
"prefix": "translate English to German: "
},
"translation_en_to_fr": {
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"max_length": 300,
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"prefix": "translate English to French: "
},
"translation_en_to_ro": {
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"max_length": 300,
"num_beams": 4,
"prefix": "translate English to Romanian: "
}
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"output_attentions": false
},
"covers": {
"google-t5/t5-small": "df1b051c49625cf57a3d0d8d3863ed4d13564fe4"
},
"built_from": {
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"revision": "df1b051c49625cf57a3d0d8d3863ed4d13564fe4"
},
"seed": 17,
"dtype": "float32",
"builder": "example/build_fixtures.py",
"model_class": "T5ForConditionalGeneration",
"parameters": 2221056,
"missing_parameters": [],
"checkpoint_inspection": "parameter metadata",
"captured": {
"call": "training step",
"inputs": [
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"input_ids",
"labels"
]
},
"weights": "random",
"gate": {
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"accepted_insensitive": {},
"threshold": 0.001,
"deltas": {
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"input_ids:reverse": 2.0183849334716797,
"attention_mask:all_ones": 1.2822163105010986
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"weakest": "attention_mask:all_ones",
"no_perturbation_defined": []
}
},
"numeric_health": {
"float32": {
"outputs_finite": true,
"loss_finite": true,
"gradients_finite": true,
"finite": true
},
"bfloat16": {
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"loss_finite": true,
"gradients_finite": true,
"finite": true
},
"float16": {
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"loss_finite": true,
"gradients_finite": true,
"finite": true
}
},
"copied_unchanged": [
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"spiece.model",
"tokenizer.json",
"tokenizer_config.json"
],
"environment": {
"python": "3.10.12",
"machine": "x86_64",
"torch": "2.11.0+cu128",
"transformers": "5.19.0.dev0",
"tokenizers": "0.23.1"
},
"sha256": {
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"model.safetensors": "35e86de468e80c899e4617c834c9cee408ee2299257d0ab7c8692c6fc808cb2b",
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"tokenizer.json": "d2acde0d8d71dd30a711834b07781b9c89feaac33fd332f60507699282740066",
"tokenizer_config.json": "d1e7146101aa96282057f374aa9c3b260fba2109e5990edb1775d6efc70ffa3c"
}
}