Training in progress, epoch 1

config.json

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+{
+  "_name_or_path": "microsoft/MiniLM-L12-H384-uncased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
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+  "hidden_size": 384,
+  "id2label": {
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+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3"
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+    "LABEL_3": 3
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+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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runs/Dec08_13-39-40_a236f94bf222/events.out.tfevents.1702042785.a236f94bf222.1874.1

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runs/Dec08_13-41-41_a236f94bf222/events.out.tfevents.1702042905.a236f94bf222.1874.3

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special_tokens_map.json

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+{
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+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
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+      "lstrip": false,
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+  "tokenizer_class": "BertTokenizer",
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+}

training_args.bin

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