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

config.json

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+  "_name_or_path": "intfloat/multilingual-e5-small",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 384,
+  "id2label": {
+    "0": "Ideologi",
+    "1": "Politik",
+    "2": "Ekonomi",
+    "3": "Sosial Budaya",
+    "4": "Pertahanan dan Keamanan",
+    "5": "Sumber Daya Alam",
+    "6": "Geografi",
+    "7": "Demografi"
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+  "initializer_range": 0.02,
+  "intermediate_size": 1536,
+  "label2id": {
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+    "Ekonomi": 2,
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+    "Pertahanan dan Keamanan": 4,
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+    "Sumber Daya Alam": 5
+  },
+  "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": "4.41.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 250037
+}

model.safetensors

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runs/Jun16_07-41-37_ab37295eb493/events.out.tfevents.1718523698.ab37295eb493.539.0

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sentencepiece.bpe.model

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special_tokens_map.json

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tokenizer.json

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tokenizer_config.json

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+  "model_max_length": 128,
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+  "sp_model_kwargs": {},
+  "tokenizer_class": "XLMRobertaTokenizer",
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+}

training_args.bin

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