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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+  "eos_token_id": 6,
+  "hidden_act": "gelu",
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+  "hidden_size": 768,
+  "id2label": {
+    "0": "agronomy",
+    "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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+  "intermediate_size": 3072,
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+    "production": 8,
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+    "science": 10,
+    "security": 11,
+    "society": 12,
+    "transport": 13
+  },
+  "layer_norm_eps": 1e-05,
+  "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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+{
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+    "<s>NOTUSED",
+    "</s>NOTUSED"
+  ],
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

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+{
+  "additional_special_tokens": [
+    "<s>NOTUSED",
+    "</s>NOTUSED"
+  ],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
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+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "CamembertTokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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