Training in progress, step 500

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "distilbert-base-uncased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "All Electronics",
+    "1": "Amazon Fashion",
+    "2": "Amazon Home",
+    "3": "Arts, Crafts & Sewing",
+    "4": "Automotive",
+    "5": "Books",
+    "6": "Camera & Photo",
+    "7": "Cell Phones & Accessories",
+    "8": "Computers",
+    "9": "Digital Music",
+    "10": "Grocery",
+    "11": "Health & Personal Care",
+    "12": "Home Audio & Theater",
+    "13": "Industrial & Scientific",
+    "14": "Movies & TV",
+    "15": "Musical Instruments",
+    "16": "Office Products",
+    "17": "Pet Supplies",
+    "18": "Sports & Outdoors",
+    "19": "Tools & Home Improvement",
+    "20": "Toys & Games",
+    "21": "Video Games"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "All Electronics": 0,
+    "Amazon Fashion": 1,
+    "Amazon Home": 2,
+    "Arts, Crafts & Sewing": 3,
+    "Automotive": 4,
+    "Books": 5,
+    "Camera & Photo": 6,
+    "Cell Phones & Accessories": 7,
+    "Computers": 8,
+    "Digital Music": 9,
+    "Grocery": 10,
+    "Health & Personal Care": 11,
+    "Home Audio & Theater": 12,
+    "Industrial & Scientific": 13,
+    "Movies & TV": 14,
+    "Musical Instruments": 15,
+    "Office Products": 16,
+    "Pet Supplies": 17,
+    "Sports & Outdoors": 18,
+    "Tools & Home Improvement": 19,
+    "Toys & Games": 20,
+    "Video Games": 21
+  },
+  "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,
+  "torch_dtype": "float32",
+  "transformers_version": "4.28.0",
+  "vocab_size": 30522
+}

pytorch_model.bin

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special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

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,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "DistilBertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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