Training in progress, epoch 1

config.json

@@ -9,8 +9,16 @@
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
+  "id2label": {
+    "0": "not belongs",
+    "1": "belongs"
+  },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
+  "label2id": {
+    "belongs": 1,
+    "not belongs": 0
+  },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
   "model_type": "bert",
@@ -19,7 +27,7 @@
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
   "torch_dtype": "float32",
-  "transformers_version": "4.27.3",
+  "transformers_version": "4.27.4",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 30522

pytorch_model.bin

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runs/Mar31_01-47-34_ea4b330ce734/1680227257.8608797/events.out.tfevents.1680227257.ea4b330ce734.11262.1

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runs/Mar31_01-47-34_ea4b330ce734/events.out.tfevents.1680227257.ea4b330ce734.11262.0

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tokenizer.json

@@ -1,7 +1,14 @@
 {
   "version": "1.0",
   "truncation": null,
-  "padding": null,
+  "padding": {
+    "strategy": "BatchLongest",
+    "direction": "Right",
+    "pad_to_multiple_of": null,
+    "pad_id": 0,
+    "pad_type_id": 0,
+    "pad_token": "[PAD]"
+  },
   "added_tokens": [
     {
       "id": 0,

training_args.bin

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