Training in progress, epoch 1

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "xlm-roberta-base",
+  "architectures": [
+    "XLMRobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Arabic",
+    "1": "Basque",
+    "10": "Dutch",
+    "11": "English",
+    "12": "Esperanto",
+    "13": "Estonian",
+    "14": "French",
+    "15": "Frisian",
+    "16": "Georgian",
+    "17": "German",
+    "18": "Greek",
+    "19": "Hakha_Chin",
+    "2": "Breton",
+    "20": "Indonesian",
+    "21": "Interlingua",
+    "22": "Italian",
+    "23": "Japanese",
+    "24": "Kabyle",
+    "25": "Kinyarwanda",
+    "26": "Kyrgyz",
+    "27": "Latvian",
+    "28": "Maltese",
+    "29": "Mangolian",
+    "3": "Catalan",
+    "30": "Persian",
+    "31": "Polish",
+    "32": "Portuguese",
+    "33": "Romanian",
+    "34": "Romansh_Sursilvan",
+    "35": "Russian",
+    "36": "Sakha",
+    "37": "Slovenian",
+    "38": "Spanish",
+    "39": "Swedish",
+    "4": "Chinese_China",
+    "40": "Tamil",
+    "41": "Tatar",
+    "42": "Turkish",
+    "43": "Ukranian",
+    "44": "Welsh",
+    "5": "Chinese_Hongkong",
+    "6": "Chinese_Taiwan",
+    "7": "Chuvash",
+    "8": "Czech",
+    "9": "Dhivehi"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Arabic": "0",
+    "Basque": "1",
+    "Breton": "2",
+    "Catalan": "3",
+    "Chinese_China": "4",
+    "Chinese_Hongkong": "5",
+    "Chinese_Taiwan": "6",
+    "Chuvash": "7",
+    "Czech": "8",
+    "Dhivehi": "9",
+    "Dutch": "10",
+    "English": "11",
+    "Esperanto": "12",
+    "Estonian": "13",
+    "French": "14",
+    "Frisian": "15",
+    "Georgian": "16",
+    "German": "17",
+    "Greek": "18",
+    "Hakha_Chin": "19",
+    "Indonesian": "20",
+    "Interlingua": "21",
+    "Italian": "22",
+    "Japanese": "23",
+    "Kabyle": "24",
+    "Kinyarwanda": "25",
+    "Kyrgyz": "26",
+    "Latvian": "27",
+    "Maltese": "28",
+    "Mangolian": "29",
+    "Persian": "30",
+    "Polish": "31",
+    "Portuguese": "32",
+    "Romanian": "33",
+    "Romansh_Sursilvan": "34",
+    "Russian": "35",
+    "Sakha": "36",
+    "Slovenian": "37",
+    "Spanish": "38",
+    "Swedish": "39",
+    "Tamil": "40",
+    "Tatar": "41",
+    "Turkish": "42",
+    "Ukranian": "43",
+    "Welsh": "44"
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "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": "4.12.5",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

pytorch_model.bin

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special_tokens_map.json

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tokenizer_config.json

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