File size: 3,372 Bytes
ff3c8d1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 | {
"fixture": "huggingface-mic/roberta-base-mic",
"key": "05ec051e3d97c7210a49a8776fb18ac2156a51f1e08fedd0de7d1af05e8368f0",
"key_fields": {
"architectures": [
"RobertaForMaskedLM"
],
"output_hidden_states": false,
"return_dict": true,
"chunk_size_feed_forward": 0,
"is_encoder_decoder": false,
"id2label": {
"0": "LABEL_0",
"1": "LABEL_1"
},
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1
},
"problem_type": null,
"vocab_size": 50265,
"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,
"type_vocab_size": 1,
"initializer_range": 0.02,
"layer_norm_eps": 1e-05,
"pad_token_id": 1,
"bos_token_id": 0,
"eos_token_id": 2,
"use_cache": true,
"classifier_dropout": null,
"is_decoder": false,
"add_cross_attention": false,
"tie_word_embeddings": true,
"model_type": "roberta",
"output_attentions": false
},
"covers": {
"FacebookAI/roberta-base": "e2da8e2f811d1448a5b465c236feacd80ffbac7b"
},
"built_from": {
"repo": "FacebookAI/roberta-base",
"revision": "e2da8e2f811d1448a5b465c236feacd80ffbac7b"
},
"seed": 17,
"dtype": "float32",
"builder": "example/build_fixtures.py",
"model_class": "RobertaForMaskedLM",
"parameters": 3371545,
"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": "RobertaForMaskedLM"
},
"weights": "random",
"gate": {
"random": {
"pass": true,
"accepted_insensitive": {},
"threshold": 0.001,
"deltas": {
"input_ids:roll_batch": 0.6873351335525513,
"input_ids:reverse": 0.8940852284431458,
"attention_mask:all_ones": 0.002395316958427429
},
"weakest": "attention_mask:all_ones",
"no_perturbation_defined": []
}
},
"numeric_health": {
"float32": {
"outputs_finite": true,
"loss_finite": true,
"gradients_finite": true,
"finite": true
},
"bfloat16": {
"outputs_finite": true,
"loss_finite": true,
"gradients_finite": true,
"finite": true
},
"float16": {
"outputs_finite": true,
"loss_finite": true,
"unscaled_gradients_finite": true,
"finite": true
}
},
"copied_unchanged": [
"dict.txt",
"merges.txt",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
],
"environment": {
"python": "3.12.12",
"machine": "arm64",
"torch": "2.14.1",
"transformers": "5.22.0.dev0",
"tokenizers": "0.23.3"
},
"sha256": {
"config.json": "830930b5ae6b215a3ec3b24228c61179c7965a1a519bb3abed82630a6c3ad06c",
"dict.txt": "2c31c5b236661067fe8626775eb995ef5fe808ac87d2ad4a6ddbef68550f5cc6",
"merges.txt": "1ce1664773c50f3e0cc8842619a93edc4624525b728b188a9e0be33b7726adc5",
"model.safetensors": "039fe2a956ec50b3d5fe667490873e9d1697b906fa0d9f82cf5a727c53c97bbf",
"tokenizer.json": "847bbeab6174d66a88898f729d52fa8d355fafe1bea101cf960dd404581df70e",
"tokenizer_config.json": "994f46754c5bf4014f1aa92d34b1374319c3a6b3f702105cd5b742beaecd18ce",
"vocab.json": "9e7f63c2d15d666b52e21d250d2e513b87c9b713cfa6987a82ed89e5e6e50655"
}
}
|