Training in progress, epoch 1

config.json

@@ -27,7 +27,7 @@
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
   "torch_dtype": "float32",
-  "transformers_version": "4.20.0",
+  "transformers_version": "4.20.1",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 30522

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pytorch_model.bin

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tokenizer.json

@@ -1,6 +1,11 @@
 {
   "version": "1.0",
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+  "truncation": {
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+    "max_length": 512,
+    "strategy": "LongestFirst",
+    "stride": 0
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   "padding": null,
   "added_tokens": [
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tokenizer_config.json

@@ -1,12 +1,14 @@
 {
   "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
   "do_lower_case": true,
   "mask_token": "[MASK]",
   "model_max_length": 512,
-  "name_or_path": "bert-base-uncased",
+  "name_or_path": "textattack/bert-base-uncased-SST-2",
+  "never_split": null,
   "pad_token": "[PAD]",
   "sep_token": "[SEP]",
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   "strip_accents": null,
   "tokenize_chinese_chars": true,
   "tokenizer_class": "BertTokenizer",

training_args.bin

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