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Model save

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  1. README.md +6 -6
  2. model.safetensors +1 -1
README.md CHANGED
@@ -14,7 +14,7 @@ model-index:
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  name: Masked Language Modeling
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  type: fill-mask
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  dataset:
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- name: wikitext wikitext-2-raw-v1
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  type: wikitext
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  config: wikitext-2-raw-v1
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  split: validation
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.7255275697753574
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  ---
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  <!-- 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. -->
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  # mlm
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- This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the wikitext wikitext-2-raw-v1 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.2799
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- - Accuracy: 0.7255
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  ## Model description
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@@ -76,5 +76,5 @@ The following hyperparameters were used during training:
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  - Transformers 4.33.0.dev0
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  - Pytorch 2.0.1+cu117
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- - Datasets 2.12.0
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  - Tokenizers 0.13.3
 
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  name: Masked Language Modeling
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  type: fill-mask
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  dataset:
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+ name: wikitext
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  type: wikitext
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  config: wikitext-2-raw-v1
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  split: validation
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.7288328898061153
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # mlm
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+ This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the wikitext dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.2628
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+ - Accuracy: 0.7288
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  ## Model description
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  - Transformers 4.33.0.dev0
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  - Pytorch 2.0.1+cu117
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+ - Datasets 2.13.1
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  - Tokenizers 0.13.3
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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