Training in progress, step 200

.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": "nielsr/lilt-xlm-roberta-base",
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+    "LiltForTokenClassification"
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+  "hidden_act": "gelu",
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+  "hidden_size": 768,
+  "id2label": {
+    "0": "Contact Info Section",
+    "1": "Education Section",
+    "2": "Experience Section",
+    "3": "Tech Skills Section",
+    "4": "Internship Section",
+    "5": "Soft Skills Section"
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+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_2d_position_embeddings": 1024,
+  "max_position_embeddings": 514,
+  "model_type": "lilt",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.4",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

model.safetensors

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runs/Jul24_15-32-50_f0094826bc04/events.out.tfevents.1721835171.f0094826bc04.470.0

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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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+  "pad_token": "<pad>",
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+  "tokenizer_class": "XLMRobertaTokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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