Training in progress, epoch 1

.gitignore

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config.json

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+  "_name_or_path": "cointegrated/rubert-tiny2",
+  "architectures": [
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+  ],
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+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
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+  "id2label": {
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+    "1": "PERSONALIZATION",
+    "2": "EMOTIONAL REASONING",
+    "3": "OVERGENERALIZING",
+    "4": "LABELING",
+    "5": "SHOULD STATEMENTS",
+    "6": "CATASTROPHIZING",
+    "7": "REWARD FALLACY"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 600,
+  "label2id": {
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+    "SHOULD STATEMENTS": 5
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 2048,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 3,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.27.4",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 83828
+}

pytorch_model.bin

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special_tokens_map.json

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

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+  "do_basic_tokenize": true,
+  "do_lower_case": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 2048,
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+  "sep_token": "[SEP]",
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+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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