Training in progress, epoch 1

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "dbmdz/bert-base-french-europeana-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": "awards",
+    "1": "certificates",
+    "2": "contact/name/title",
+    "3": "education",
+    "4": "interests",
+    "5": "languages",
+    "6": "para",
+    "7": "professional_experiences",
+    "8": "projects",
+    "9": "skills",
+    "10": "soft_skills",
+    "11": "summary"
+  },
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+  "intermediate_size": 3072,
+  "label2id": {
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+    "certificates": 1,
+    "contact/name/title": 2,
+    "education": 3,
+    "interests": 4,
+    "languages": 5,
+    "para": 6,
+    "professional_experiences": 7,
+    "projects": 8,
+    "skills": 9,
+    "soft_skills": 10,
+    "summary": 11
+  },
+  "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": "multi_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.19.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 32000
+}

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special_tokens_map.json

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tokenizer_config.json

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training_args.bin

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