gokuls
/

distilbert_add_pre-training-complete

Fill-Mask Transformers PyTorch TensorBoard

distilbert generated_from_trainer Eval Results Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

gokuls commited on Jan 29, 2023

Commit

0cd79a8

•

1 Parent(s): 7aaac6a

update model card README.md

Files changed (1) hide show

README.md +5 -5

README.md CHANGED Viewed

@@ -13,7 +13,7 @@ model-index:
       name: Masked Language Modeling
       type: fill-mask
     dataset:
-      name: wikitext
       type: wikitext
       config: wikitext-103-raw-v1
       split: validation
@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.23321614400225005
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,10 +29,10 @@ should probably proofread and complete it, then remove this comment. -->
 # distilbert_add_pre-training-complete
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the wikitext dataset.
 It achieves the following results on the evaluation set:
-- Loss: 4.9972
-- Accuracy: 0.2332
 ## Model description

       name: Masked Language Modeling
       type: fill-mask
     dataset:
+      name: wikitext wikitext-103-raw-v1
       type: wikitext
       config: wikitext-103-raw-v1
       split: validation
     metrics:
     - name: Accuracy
       type: accuracy
+      value: 0.23073914743840437
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 # distilbert_add_pre-training-complete
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the wikitext wikitext-103-raw-v1 dataset.
 It achieves the following results on the evaluation set:
+- Loss: 5.0239
+- Accuracy: 0.2307
 ## Model description