Upload model version 2

config.json

@@ -39,7 +39,7 @@
   "position_embedding_type": "absolute",
   "problem_type": "single_label_classification",
   "torch_dtype": "float32",
-  "transformers_version": "4.27.4",
+  "transformers_version": "4.24.0",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 30522

optimizer.pt

@@ -0,0 +1,3 @@
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pytorch_model.bin

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rng_state.pth

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+size 13553

scheduler.pt

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tokenizer.json

@@ -17,48 +17,48 @@
   "added_tokens": [
     {
       "id": 0,
+      "special": true,
       "content": "[PAD]",
       "single_word": false,
       "lstrip": false,
       "rstrip": false,
-      "normalized": false,
-      "special": true
+      "normalized": false
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     {
       "id": 100,
+      "special": true,
       "content": "[UNK]",
       "single_word": false,
       "lstrip": false,
       "rstrip": false,
-      "normalized": false,
-      "special": true
+      "normalized": false
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+      "special": true,
       "content": "[CLS]",
       "single_word": false,
       "lstrip": false,
       "rstrip": false,
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+      "special": true,
       "content": "[SEP]",
       "single_word": false,
       "lstrip": false,
       "rstrip": false,
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       "content": "[MASK]",
       "single_word": false,
       "lstrip": false,
       "rstrip": false,
-      "normalized": false,
-      "special": true
+      "normalized": false
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   "normalizer": {

tokenizer_config.json

@@ -3,7 +3,7 @@
   "do_basic_tokenize": true,
   "do_lower_case": true,
   "mask_token": "[MASK]",
-  "model_max_length": 1000000000000000019884624838656,
+  "name_or_path": "prajjwal1/bert-tiny",
   "never_split": null,
   "pad_token": "[PAD]",
   "sep_token": "[SEP]",

training_args.bin

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