Training in progress, epoch 1

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "google/bert_uncased_L-2_H-128_A-2",
+  "_name_or_path": "google/bert_uncased_L-4_H-512_A-8",
   "architectures": [
     "BertForSequenceClassification"
   ],
@@ -7,22 +7,22 @@
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   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
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+  "hidden_size": 512,
   "id2label": {
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-    "1": "acceptable"
+    "0": "negative",
+    "1": "positive"
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   "initializer_range": 0.02,
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+  "intermediate_size": 2048,
   "label2id": {
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-    "unacceptable": "0"
+    "negative": "0",
+    "positive": "1"
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   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
   "model_type": "bert",
-  "num_attention_heads": 2,
-  "num_hidden_layers": 2,
+  "num_attention_heads": 8,
+  "num_hidden_layers": 4,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",

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pytorch_model.bin

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tokenizer.json

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+  "truncation": {
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+    "max_length": 512,
+    "strategy": "LongestFirst",
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