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classifier patient's intent of input sentence

config.json

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+{
+  "_name_or_path": "./intent_test/checkpoint-60",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5",
+    "6": "LABEL_6",
+    "7": "LABEL_7",
+    "8": "LABEL_8",
+    "9": "LABEL_9",
+    "10": "LABEL_10",
+    "11": "LABEL_11",
+    "12": "LABEL_12",
+    "13": "LABEL_13",
+    "14": "LABEL_14",
+    "15": "LABEL_15",
+    "16": "LABEL_16",
+    "17": "LABEL_17",
+    "18": "LABEL_18",
+    "19": "LABEL_19",
+    "20": "LABEL_20",
+    "21": "LABEL_21",
+    "22": "LABEL_22",
+    "23": "LABEL_23",
+    "24": "LABEL_24",
+    "25": "LABEL_25",
+    "26": "LABEL_26",
+    "27": "LABEL_27",
+    "28": "LABEL_28",
+    "29": "LABEL_29",
+    "30": "LABEL_30",
+    "31": "LABEL_31",
+    "32": "LABEL_32",
+    "33": "LABEL_33",
+    "34": "LABEL_34",
+    "35": "LABEL_35",
+    "36": "LABEL_36",
+    "37": "LABEL_37",
+    "38": "LABEL_38",
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+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
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+    "LABEL_8": 8,
+    "LABEL_9": 9
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.27.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 21128
+}

intent_classifier.log

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+Training/evaluation parameters Namespace(data_dir='intent_example/', model_dir='/data/ryanyip/huggingface-models/', model_name='mc_bert_base', output_dir='./intent_test', do_train=True, do_predict=False, result_output_dir='./intent_test/result/', max_length=128, train_batch_size=8, eval_batch_size=8, learning_rate=5e-05, weight_decay=0.01, adam_epsilon=1e-08, max_grad_norm=1.0, epochs=3, warmup_proportion=0.1, earlystop_patience=2, logging_steps=10, save_steps=1000, seed=2021, device=device(type='cuda'), model_type='bert', task_name='qic')
+***** Running training *****
+Num samples 1350
+Num epochs 3
+Num training steps 507
+Num warmup steps 50
+***** Running evaluation *****
+Num samples 170
+qic-mc_bert_base acc: 0.1
+Saving models checkpoint to ./intent_test/checkpoint-10
+***** Running evaluation *****
+Num samples 170
+qic-mc_bert_base acc: 0.18823529411764706
+Saving models checkpoint to ./intent_test/checkpoint-20
+***** Running evaluation *****
+Num samples 170
+qic-mc_bert_base acc: 0.2235294117647059
+Saving models checkpoint to ./intent_test/checkpoint-30
+***** Running evaluation *****
+Num samples 170
+qic-mc_bert_base acc: 0.24705882352941178
+Saving models checkpoint to ./intent_test/checkpoint-40
+***** Running evaluation *****
+Num samples 170
+qic-mc_bert_base acc: 0.2529411764705882
+Saving models checkpoint to ./intent_test/checkpoint-50
+***** Running evaluation *****
+Num samples 170
+qic-mc_bert_base acc: 0.32941176470588235
+Saving models checkpoint to ./intent_test/checkpoint-60
+***** Running evaluation *****
+Num samples 170
+qic-mc_bert_base acc: 0.2647058823529412
+Earlystopper counter: 1 out of 2
+***** Running evaluation *****
+Num samples 170
+qic-mc_bert_base acc: 0.27647058823529413
+Earlystopper counter: 2 out of 2
+Training Stop! The best step 60: 0.32941176470588235
+Saving models checkpoint to ./intent_test

pytorch_model.bin

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+size 409292589

training_args.bin

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