Training in progress, step 500

.gitattributes

@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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 *.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

.gitignore

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config.json

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+  "_name_or_path": "xlm-roberta-base",
+  "architectures": [
+    "XLMRobertaForSequenceClassification"
+  ],
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+  "id2label": {
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+    "1": "czech",
+    "2": "danish",
+    "3": "dutch",
+    "4": "english",
+    "5": "estonian",
+    "6": "finnish",
+    "7": "french",
+    "8": "german",
+    "9": "greek",
+    "10": "hungarian",
+    "11": "italian",
+    "12": "latvian",
+    "13": "lithuanian",
+    "14": "polish",
+    "15": "portoguese",
+    "16": "romanian",
+    "17": "slovak",
+    "18": "slovene",
+    "19": "spanish",
+    "20": "swedish"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
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+  "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": "4.28.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

pytorch_model.bin

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runs/Jun02_16-21-47_5cee760d8d5d/1685722969.1842344/events.out.tfevents.1685722969.5cee760d8d5d.28.1

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special_tokens_map.json

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tokenizer_config.json

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