Training in progress, epoch 1

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "distilbert-base-uncased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
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+  "dim": 768,
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+    "6": "arm",
+    "7": "arraymanager",
+    "8": "benchmark",
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+    "12": "categorical",
+    "13": "ci",
+    "14": "clean",
+    "15": "closing candidate",
+    "16": "code style",
+    "17": "community",
+    "18": "compat",
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+    "20": "constructors",
+    "21": "copy / view semantics",
+    "22": "cut",
+    "23": "dataframe",
+    "24": "dependencies",
+    "25": "deprecate",
+    "26": "docs",
+    "27": "dtype conversions",
+    "28": "duplicate report",
+    "29": "enhancement",
+    "30": "error reporting",
+    "31": "expressions",
+    "32": "extensionarray",
+    "33": "frequency",
+    "34": "good first issue",
+    "35": "groupby",
+    "36": "ideas",
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+    "38": "indexing",
+    "39": "internals",
+    "40": "interval",
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+    "42": "io data",
+    "43": "io excel",
+    "44": "io google",
+    "45": "io hdf5",
+    "46": "io html",
+    "47": "io json",
+    "48": "io latex",
+    "49": "io network",
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+    "54": "io stata",
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+    "56": "master tracker",
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+    "72": "python 3.10",
+    "73": "python 3.8",
+    "74": "python 3.9",
+    "75": "quantile",
+    "76": "reduction operations",
+    "77": "refactor",
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+    "79": "release",
+    "80": "replace",
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+    "io stata": 54,
+    "io xml": 55,
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+    "performance": 70,
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+    "python 3.8": 73,
+    "python 3.9": 74,
+    "quantile": 75,
+    "reduction operations": 76,
+    "refactor": 77,
+    "regression": 78,
+    "release": 79,
+    "replace": 80,
+    "resample": 81,
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+    "series": 85,
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+    "stale": 87,
+    "strings": 88,
+    "styler": 89,
+    "testing": 90,
+    "timedelta": 91,
+    "timeseries": 92,
+    "timezones": 93,
+    "typing": 94,
+    "unicode": 95,
+    "unreliable test": 96,
+    "upstream issue": 97,
+    "usage question": 98,
+    "visualization": 99,
+    "warnings": 100,
+    "web": 101,
+    "window": 102,
+    "windows": 103
+  },
+  "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": "4.27.2",
+  "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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+{
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "special_tokens_map_file": null,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "DistilBertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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