Training in progress, step 1

added_tokens.json

@@ -0,0 +1,8 @@
+{
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+  "<HOSPITAL>": 29001,
+  "<ID>": 28998,
+  "<PATIENT>": 28999,
+  "<PHONE>": 29000,
+  "<VENDOR>": 28996
+}

config.json

@@ -0,0 +1,36 @@
+{
+  "_name_or_path": "DedalusHealthCare/tinybert-mlm-en",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 312,
+  "id2label": {
+    "0": "NOT_FAMILY",
+    "1": "FAMILY"
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+  "initializer_range": 0.02,
+  "intermediate_size": 312,
+  "label2id": {
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+    "NOT_FAMILY": 0
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+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 4,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "pre_trained": "",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "training": "",
+  "transformers_version": "4.45.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 29002
+}

logs/events.out.tfevents.1758794250.e4c37a3f7732.1802.0

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model.safetensors

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special_tokens_map.json

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+{
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+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+}

tokenizer_config.json

@@ -0,0 +1,110 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
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+      "single_word": false,
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+      "single_word": false,
+      "special": false
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+      "normalized": true,
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+      "single_word": false,
+      "special": false
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+      "lstrip": false,
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+      "single_word": false,
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+  "padding_side": "right",
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+  "tokenizer_class": "BertTokenizer",
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+}

training_args.bin

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