Model save

README.md

@@ -14,7 +14,7 @@ model-index:
       name: Masked Language Modeling
       type: fill-mask
     dataset:
-      name: wikitext wikitext-2-raw-v1
+      name: wikitext
       type: wikitext
       config: wikitext-2-raw-v1
       split: validation
@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7255275697753574
+      value: 0.7288328898061153
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # mlm
 
-This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the wikitext wikitext-2-raw-v1 dataset.
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the wikitext dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2799
-- Accuracy: 0.7255
+- Loss: 1.2628
+- Accuracy: 0.7288
 
 ## Model description
 
@@ -76,5 +76,5 @@ The following hyperparameters were used during training:
 
 - Transformers 4.33.0.dev0
 - Pytorch 2.0.1+cu117
-- Datasets 2.12.0
+- Datasets 2.13.1
 - Tokenizers 0.13.3

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7f548c225f8ea38acc31d943afc8287e34f7fcd142522a7cae5881cec221b037
+oid sha256:be279bc3de1edd04df7cd8f61a6e2cb6293b5d0efc6476e58ec23078bc962913
 size 498813948