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README.md

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+
+---
+tags:
+- autotrain
+- text-classification
+base_model: sentence-transformers/all-mpnet-base-v2
+widget:
+- text: "I love AutoTrain"
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Text Classification
+
+## Validation Metrics
+loss: 0.989978015422821
+
+f1_macro: 1.0
+
+f1_micro: 1.0
+
+f1_weighted: 1.0
+
+precision_macro: 1.0
+
+precision_micro: 1.0
+
+precision_weighted: 1.0
+
+recall_macro: 1.0
+
+recall_micro: 1.0
+
+recall_weighted: 1.0
+
+accuracy: 1.0

checkpoint-3/config.json

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+{
+  "_name_or_path": "sentence-transformers/all-mpnet-base-v2",
+  "_num_labels": 3,
+  "architectures": [
+    "MPNetForSequenceClassification"
+  ],
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+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "nan",
+    "1": "negative                                                                                                                                                                                                        ",
+    "2": "positive"
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+  "label2id": {
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+    "negative                                                                                                                                                                                                        ": 1,
+    "positive": 2
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+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "mpnet",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "problem_type": "single_label_classification",
+  "relative_attention_num_buckets": 32,
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.2",
+  "vocab_size": 30527
+}

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checkpoint-3/trainer_state.json

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config.json

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+    "1": "negative                                                                                                                                                                                                        ",
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special_tokens_map.json

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tokenizer_config.json

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training_params.json

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