Training in progress, step 500

config.json

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+{
+  "_name_or_path": "bert-base-uncased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
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+    "1": "bydate_sci.med",
+    "2": "bydate_sci.electronics",
+    "3": "bydate_talk.politics.guns",
+    "4": "bydate_talk.politics.mideast",
+    "5": "bydate_talk.politics.misc"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "bydate_sci.electronics": 2,
+    "bydate_sci.med": 1,
+    "bydate_sci.space": 0,
+    "bydate_talk.politics.guns": 3,
+    "bydate_talk.politics.mideast": 4,
+    "bydate_talk.politics.misc": 5
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.36.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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training_args.bin

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