End of Training

.gitignore

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config.json

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+  "_name_or_path": "svalabs/gbert-large-zeroshot-nli",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
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+  "hidden_act": "gelu",
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+  "id2label": {
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+    "1": "LABEL_1",
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+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5",
+    "6": "LABEL_6",
+    "7": "LABEL_7",
+    "8": "LABEL_8",
+    "9": "LABEL_9",
+    "10": "LABEL_10",
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+  "language": "english",
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "name": "Bert",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.22.2",
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+  "use_cache": true,
+  "vocab_size": 31102
+}

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special_tokens_map.json

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+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
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tokenizer_config.json

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+{
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+  "do_basic_tokenize": true,
+  "do_lower_case": false,
+  "mask_token": "[MASK]",
+  "max_len": 512,
+  "name_or_path": "svalabs/gbert-large-zeroshot-nli",
+  "never_split": null,
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+  "sep_token": "[SEP]",
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+  "strip_accents": false,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
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