{
 "fixture": "hf-internal-testing/mic-bert-slim",
 "key": "7ce74647df48e43332a1634bb3c9c123e2845de5a9401b574555e1964f417d11",
 "key_fields": {
  "architectures": [
   "BertForMaskedLM"
  ],
  "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": 30522,
  "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": 512,
  "type_vocab_size": 2,
  "initializer_range": 0.02,
  "layer_norm_eps": 1e-12,
  "pad_token_id": 0,
  "use_cache": true,
  "classifier_dropout": null,
  "is_decoder": false,
  "add_cross_attention": false,
  "bos_token_id": null,
  "eos_token_id": null,
  "tie_word_embeddings": true,
  "gradient_checkpointing": false,
  "model_type": "bert",
  "position_embedding_type": "absolute",
  "output_attentions": false
 },
 "covers": {
  "google-bert/bert-base-uncased": "86b5e0934494bd15c9632b12f734a8a67f723594"
 },
 "built_from": {
  "repo": "google-bert/bert-base-uncased",
  "revision": "86b5e0934494bd15c9632b12f734a8a67f723594"
 },
 "seed": 17,
 "dtype": "float32",
 "builder": "example/build_fixtures.py",
 "model_class": "BertForMaskedLM",
 "parameters": 2088186,
 "missing_parameters": [],
 "checkpoint_inspection": "parameter metadata",
 "captured": {
  "call": "training step",
  "inputs": [
   "attention_mask",
   "input_ids",
   "labels",
   "token_type_ids"
  ]
 },
 "weights": "random",
 "gate": {
  "random": {
   "pass": true,
   "accepted_insensitive": {},
   "threshold": 0.001,
   "deltas": {
    "input_ids:roll_batch": 0.720638632774353,
    "input_ids:reverse": 0.7979322671890259,
    "token_type_ids:all_ones": 0.7735698223114014,
    "attention_mask:all_ones": 0.0027810335159301758
   },
   "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,
   "gradients_finite": true,
   "finite": true
  }
 },
 "copied_unchanged": [
  "LICENSE",
  "tokenizer.json",
  "tokenizer_config.json",
  "vocab.txt"
 ],
 "environment": {
  "python": "3.10.12",
  "machine": "x86_64",
  "torch": "2.11.0+cu128",
  "transformers": "5.19.0.dev0",
  "tokenizers": "0.23.1"
 },
 "sha256": {
  "LICENSE": "43070e2d4e532684de521b885f385d0841030efa2b1a20bafb76133a5e1379c1",
  "config.json": "7a55bffa8e892b3f6cac45020c9f307f98563ba5ae3bb4cee7d92a775eb35a5f",
  "model.safetensors": "26bacd6b7e5e6ff3f9ffd3218544ef84ddbab096e4e4ba1c5849b0c7a476f184",
  "tokenizer.json": "ce64fce797c24f68df90b40a3f74f579b336a493db14bd583fd520ea0d8c9a98",
  "tokenizer_config.json": "a025160ef0431f1a392f6f050c1310f4c5d9fb6f275932dbccba73c4d214bf10",
  "vocab.txt": "07eced375cec144d27c900241f3e339478dec958f92fddbc551f295c992038a3"
 }
}