Training in progress, step 500

README.md

@@ -2,15 +2,9 @@
 base_model: /notebooks/cantonese/bert-base-cantonese
 tags:
 - generated_from_trainer
-- Cantonese
-- bert
 model-index:
 - name: bert-base-cantonese
   results: []
-license: cc-by-4.0
-language:
-- yue
-pipeline_tag: fill-mask
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -18,11 +12,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-base-cantonese
 
-This model is a continue pre-train version of [indiejoseph/cantonese/bert-base-cantonese](https://huggingface.co//notebooks/cantonese/bert-base-cantonese) on [indiejoseph/wikipedia-zh-yue-filtered](https://huggingface.co/datasets/indiejoseph/wikipedia-zh-yue-filtered).
+This model is a fine-tuned version of [/notebooks/cantonese/bert-base-cantonese](https://huggingface.co//notebooks/cantonese/bert-base-cantonese) on an unknown dataset.
 
 ## Model description
 
-This model has extended 500 more Chinese characters which very common in Cantonese, such as `冧`, `噉`, `麪`, `笪`, `冚`, `乸` etc, and continue pre-trained with [indiejoseph/wikipedia-zh-yue-filtered](https://huggingface.co/datasets/indiejoseph/wikipedia-zh-yue-filtered)
+More information needed
 
 ## Intended uses & limitations
 
@@ -56,4 +50,4 @@ The following hyperparameters were used during training:
 - Transformers 4.34.0.dev0
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.5
-- Tokenizers 0.14.0
+- Tokenizers 0.14.0

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