Training in progress, epoch 1

config.json

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+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Ci\u00e8ncia_i_Tecnologia",
+    "1": "Dret",
+    "2": "Economia",
+    "3": "Enginyeria",
+    "4": "Entreteniment",
+    "5": "Esport",
+    "6": "Filosofia",
+    "7": "Hist\u00f2ria",
+    "8": "Humanitats",
+    "9": "Matem\u00e0tiques",
+    "10": "M\u00fasica",
+    "11": "Pol\u00edtica",
+    "12": "Religi\u00f3"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
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+    "Entreteniment": 4,
+    "Esport": 5,
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+    "Matem\u00e0tiques": 9,
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+    "Pol\u00edtica": 11,
+    "Religi\u00f3": 12
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+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50262
+}

model.safetensors

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special_tokens_map.json

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+{
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tokenizer_config.json

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+  "tokenizer_class": "RobertaTokenizer",
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+}

training_args.bin

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