End of training

.gitignore

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config.json

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+  "_name_or_path": "microsoft/MiniLM-L12-H384-uncased",
+  "architectures": [
+    "BertForSequenceClassification"
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+  "hidden_act": "gelu",
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+  "hidden_size": 384,
+  "id2label": {
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+    "1": "Assumption",
+    "2": "Definition",
+    "3": "None",
+    "4": "Other",
+    "5": "Statistics/Study",
+    "6": "Testimony"
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+  "intermediate_size": 1536,
+  "label2id": {
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+    "Assumption": 1,
+    "Definition": 2,
+    "None": 3,
+    "Other": 4,
+    "Statistics/Study": 5,
+    "Testimony": 6
+  },
+  "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": "4.19.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

pytorch_model.bin

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special_tokens_map.json

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tokenizer_config.json

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