Updated model

config.json

@@ -1,7 +1,7 @@
 {
-  "_name_or_path": "./",
+  "_name_or_path": ".",
   "architectures": [
-    "RobertaForMaskedLM"
+    "RobertaModel"
   ],
   "attention_probs_dropout_prob": 0.1,
   "bos_token_id": 0,

events.out.tfevents.1625852361.t1v-n-98937c84-w-0.556819.3.v2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:39b9519dfbfe40c6a2db63f24069fef2fdff05fb1e5e9f6b55a0e54e4b376c9c
-size 19566987
+oid sha256:37f22c9592894928e6c421ca6e9e1a1adbc10159bd7a6e76e0958a95259ca8e4
+size 19714992

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c4ae452e4835ee0e3d42b4f6bb1acd8c272d4ac34fa7e2e2ad79e2bb0a8c94d4
-size 498858859
+oid sha256:d6979d65b6e4fc10b6d8771c457b2ef5e9714d9620c9e5fd60e7a1b6a92e0190
+size 498661169

save_updated.py

@@ -2,5 +2,5 @@
 from transformers import AutoTokenizer, RobertaModel
 model = RobertaModel.from_pretrained('.',from_flax=True)
 tokenizer = AutoTokenizer.from_pretrained(".")
-tokenizer.save_pretrained('exported_pytorch_model')
-model.save_pretrained('exported_pytorch_model')
+tokenizer.save_pretrained('.')
+model.save_pretrained('.')

special_tokens_map.json

@@ -0,0 +1 @@
+{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}}

tokenizer_config.json

@@ -0,0 +1 @@
+{"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": false, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "special_tokens_map_file": null, "name_or_path": ".", "tokenizer_class": "RobertaTokenizer"}