Training in progress, epoch 1

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

added_tokens.json

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config.json

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+  "_name_or_path": "microsoft/Multilingual-MiniLM-L12-H384",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
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+  "hidden_act": "gelu",
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+  "id2label": {
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+    "2": "[TI][Ca]",
+    "3": "[TI][RE]",
+    "4": "[RI][RW]",
+    "5": "[RI][RD]",
+    "6": "[AG][Cc]",
+    "7": "[autres]"
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+  "intermediate_size": 1536,
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+    "[TI][RE]": 3,
+    "[autres]": 7
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+  "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",
+  "tokenizer_class": "XLMRobertaTokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.34.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 250037
+}

pytorch_model.bin

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sentencepiece.bpe.model

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special_tokens_map.json

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+  "mask_token": "<mask>",
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tokenizer.json

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tokenizer_config.json

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training_args.bin

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