Training in progress, step 500

config.json

@@ -0,0 +1,119 @@
+{
+  "_name_or_path": "bert-base-cased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "poder",
+    "1": "ilustrada",
+    "2": "mercado",
+    "3": "mundo",
+    "4": "esporte",
+    "5": "tec",
+    "6": "cotidiano",
+    "7": "ambiente",
+    "8": "equilibrioesaude",
+    "9": "sobretudo",
+    "10": "colunas",
+    "11": "educacao",
+    "12": "tv",
+    "13": "banco-de-dados",
+    "14": "opiniao",
+    "15": "ciencia",
+    "16": "paineldoleitor",
+    "17": "saopaulo",
+    "18": "ilustrissima",
+    "19": "seminariosfolha",
+    "20": "turismo",
+    "21": "empreendedorsocial",
+    "22": "serafina",
+    "23": "asmais",
+    "24": "o-melhor-de-sao-paulo",
+    "25": "bbc",
+    "26": "comida",
+    "27": "folhinha",
+    "28": "especial",
+    "29": "treinamento",
+    "30": "multimidia",
+    "31": "cenarios-2017",
+    "32": "topofmind",
+    "33": "dw",
+    "34": "ombudsman",
+    "35": "mulher",
+    "36": "guia-de-livros-discos-filmes",
+    "37": "treinamentocienciaesaude",
+    "38": "rfi",
+    "39": "vice",
+    "40": "bichos",
+    "41": "euronews",
+    "42": "guia-de-livros-filmes-discos",
+    "43": "infograficos"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "ambiente": 7,
+    "asmais": 23,
+    "banco-de-dados": 13,
+    "bbc": 25,
+    "bichos": 40,
+    "cenarios-2017": 31,
+    "ciencia": 15,
+    "colunas": 10,
+    "comida": 26,
+    "cotidiano": 6,
+    "dw": 33,
+    "educacao": 11,
+    "empreendedorsocial": 21,
+    "equilibrioesaude": 8,
+    "especial": 28,
+    "esporte": 4,
+    "euronews": 41,
+    "folhinha": 27,
+    "guia-de-livros-discos-filmes": 36,
+    "guia-de-livros-filmes-discos": 42,
+    "ilustrada": 1,
+    "ilustrissima": 18,
+    "infograficos": 43,
+    "mercado": 2,
+    "mulher": 35,
+    "multimidia": 30,
+    "mundo": 3,
+    "o-melhor-de-sao-paulo": 24,
+    "ombudsman": 34,
+    "opiniao": 14,
+    "paineldoleitor": 16,
+    "poder": 0,
+    "rfi": 38,
+    "saopaulo": 17,
+    "seminariosfolha": 19,
+    "serafina": 22,
+    "sobretudo": 9,
+    "tec": 5,
+    "topofmind": 32,
+    "treinamento": 29,
+    "treinamentocienciaesaude": 37,
+    "turismo": 20,
+    "tv": 12,
+    "vice": 39
+  },
+  "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": "4.41.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 28996
+}

model.safetensors

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+size 433399960

special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "102": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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