Training in progress, step 500

.gitignore

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config.json

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+  "_name_or_path": "camembert-base",
+  "architectures": [
+    "CamembertForSequenceClassification"
+  ],
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+  "hidden_act": "gelu",
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+  "hidden_size": 768,
+  "id2label": {
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+    "1": "business",
+    "2": "design",
+    "3": "digital",
+    "4": "environment",
+    "5": "learning",
+    "6": "medical",
+    "7": "people",
+    "8": "production",
+    "9": "resource",
+    "10": "science",
+    "11": "security",
+    "12": "society",
+    "13": "transport"
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+    "transport": 13
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+  "max_position_embeddings": 514,
+  "model_type": "camembert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.29.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 32005
+}

pytorch_model.bin

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special_tokens_map.json

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+    "<s>NOTUSED",
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+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
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+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

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+{
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+    "</s>NOTUSED"
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+  "bos_token": "<s>",
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+  "pad_token": "<pad>",
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+  "tokenizer_class": "CamembertTokenizer",
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+}

training_args.bin

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