Training in progress, epoch 1

.gitignore

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config.json

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   "dropout": 0.1,
   "hidden_dim": 3072,
   "id2label": {
-    "0": "Population and Society",
-    "1": "Children Education and Skills",
-    "2": "Gaps",
-    "3": "Covid",
-    "4": "Crime and Security",
-    "5": "Climate change",
-    "6": "Transport",
-    "7": "Economy",
-    "8": "Poverty",
-    "9": "Children Education and Skills (Post-16)",
-    "10": "Environment",
-    "11": "census_accounts",
-    "12": "Health and Social Care",
-    "13": "Housing Planning and Local Services",
-    "14": "Statistical Literacy",
-    "15": "accounts",
-    "16": "Children",
-    "17": "NI Health",
-    "18": "Ukraine",
-    "19": "Labour Market and Welfare"
+    "0": "Children, Education and Skills",
+    "1": "Health and Social Care",
+    "2": "Crime and Security",
+    "3": "Economy",
+    "4": "Housing, Planning and Local Services",
+    "5": "Labour Market and Welfare",
+    "6": "Population and Society",
+    "7": "Transport, Environment and Climate Change"
   },
   "initializer_range": 0.02,
   "label2id": {
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-    "Children Education and Skills": 1,
-    "Children Education and Skills (Post-16)": 9,
-    "Climate change": 5,
-    "Covid": 3,
-    "Crime and Security": 4,
-    "Economy": 7,
-    "Environment": 10,
-    "Gaps": 2,
-    "Health and Social Care": 12,
-    "Housing Planning and Local Services": 13,
-    "Labour Market and Welfare": 19,
-    "NI Health": 17,
-    "Population and Society": 0,
-    "Poverty": 8,
-    "Statistical Literacy": 14,
-    "Transport": 6,
-    "Ukraine": 18,
-    "accounts": 15,
-    "census_accounts": 11
+    "Children, Education and Skills": 0,
+    "Crime and Security": 2,
+    "Economy": 3,
+    "Health and Social Care": 1,
+    "Housing, Planning and Local Services": 4,
+    "Labour Market and Welfare": 5,
+    "Population and Society": 6,
+    "Transport, Environment and Climate Change": 7
   },
   "max_position_embeddings": 512,
   "model_type": "distilbert",
   "n_heads": 12,
   "n_layers": 6,
   "pad_token_id": 0,
+  "problem_type": "single_label_classification",
   "qa_dropout": 0.1,
   "seq_classif_dropout": 0.2,
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
-  "transformers_version": "4.24.0",
+  "torch_dtype": "float32",
+  "transformers_version": "4.31.0",
   "vocab_size": 30522
 }

pytorch_model.bin

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tokenizer.json

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   "added_tokens": [
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       "id": 0,
-      "special": true,
       "content": "[PAD]",
       "single_word": false,
       "lstrip": false,
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       "rstrip": false,
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   "normalizer": {

tokenizer_config.json

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 {
+  "clean_up_tokenization_spaces": true,
   "cls_token": "[CLS]",
   "do_lower_case": true,
   "mask_token": "[MASK]",
   "model_max_length": 512,
-  "name_or_path": "distilbert-base-uncased",
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   "sep_token": "[SEP]",
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   "strip_accents": null,
   "tokenize_chinese_chars": true,
   "tokenizer_class": "DistilBertTokenizer",

training_args.bin

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