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-2_H-256_A-4",
   "architectures": [
     "BertForSequenceClassification"
   ],
@@ -7,13 +7,13 @@
   "classifier_dropout": null,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
-  "hidden_size": 128,
+  "hidden_size": 256,
   "id2label": {
     "0": "negative",
     "1": "positive"
   },
   "initializer_range": 0.02,
-  "intermediate_size": 512,
+  "intermediate_size": 1024,
   "label2id": {
     "negative": "0",
     "positive": "1"
@@ -21,7 +21,7 @@
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
   "model_type": "bert",
-  "num_attention_heads": 2,
+  "num_attention_heads": 4,
   "num_hidden_layers": 2,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",

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pytorch_model.bin

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tokenizer.json

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 {
   "version": "1.0",
-  "truncation": {
-    "direction": "Right",
-    "max_length": 512,
-    "strategy": "LongestFirst",
-    "stride": 0
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+  "truncation": null,
   "padding": null,
   "added_tokens": [
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training_args.bin

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