Training in progress, epoch 1

.gitattributes

@@ -32,3 +32,4 @@ 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

.gitignore

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config.json

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+  "architectures": [
+    "XLMRobertaForSequenceClassification"
+  ],
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+  "hidden_act": "gelu",
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+  "hidden_size": 1024,
+  "id2label": {
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+    "1": "AP",
+    "2": "SD",
+    "3": "CO",
+    "4": "HA"
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+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
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+    "HA": 4,
+    "SD": 2
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+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "multi_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.25.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

pytorch_model.bin

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sentencepiece.bpe.model

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special_tokens_map.json

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+  "mask_token": {
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tokenizer.json

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tokenizer_config.json

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+  "cls_token": "<s>",
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+  "mask_token": {
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+  "name_or_path": "xlm-roberta-large",
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
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+  "tokenizer_class": "XLMRobertaTokenizer",
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+}

training_args.bin

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