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mobilebert_add_pre-training-complete

Fill-Mask Transformers PyTorch TensorBoard

mobilebert generated_from_trainer Eval Results Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

gokuls commited on Jan 27, 2023

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1 Parent(s): 1f8d9eb

update model card README.md

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@@ -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: 0.4548123706727812
 ---
 <!-- 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. -->
 # mobilebert_add_pre-training-complete
-This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the wikitext dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.0067
-- Accuracy: 0.4548
 ## 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: 0.46066022044935584
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 # mobilebert_add_pre-training-complete
+This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the wikitext wikitext-103-raw-v1 dataset.
 It achieves the following results on the evaluation set:
+- Loss: 2.9849
+- Accuracy: 0.4607
 ## Model description