Update README.md

README.md

@@ -16,9 +16,9 @@ widget:
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# Code-mixed IJERoBERTa
+# IJERoBERTa: RoBERTa-base
 
-Code-mixed IJERoBERTa is a pre-trained masked language model for code-mixed Indonesian-Javanese-English tweets data.
+This is a pre-trained masked language model for code-mixed Indonesian-Javanese-English tweets data.
 This model is trained based on [RoBERTa](https://arxiv.org/abs/1907.11692) model utilizing 
 Hugging Face's [Transformers]((https://huggingface.co/transformers)) library.
 
@@ -50,9 +50,9 @@ Finally, we have 28,121,693 sentences for the training process.
 This pretraining data will not be opened to public due to Twitter policy.
 
 ## Model
-| Model name              | Architecture    | Size of training data      | Size of validation data |
-|-------------------------|-----------------|----------------------------|-------------------------|
-| `code-mixed-ijeroberta` | RoBERTa         | 2.24 GB of text            | 249 MB of text          |  
+| Model name                           | Base model    | Size of training data      | Size of validation data |
+|--------------------------------------|---------------|----------------------------|-------------------------|
+| `ijeroberta-codemixed-roberta-base`  | RoBERTa       | 2.24 GB of text            | 249 MB of text          |  
 
 ## Evaluation Results
 We train the data with 3 epochs and total steps of 296K for 16 days.
@@ -66,15 +66,15 @@ The following are the results obtained from the training:
 ### Load model and tokenizer
 ```python
 from transformers import AutoTokenizer, AutoModel
-tokenizer = AutoTokenizer.from_pretrained("fathan/code-mixed-ijeroberta")
-model = AutoModel.from_pretrained("fathan/code-mixed-ijeroberta")
+tokenizer = AutoTokenizer.from_pretrained("fathan/ijeroberta-codemixed-roberta-base")
+model = AutoModel.from_pretrained("fathan/ijeroberta-codemixed-roberta-base")
 
 ```
 ### Masked language model
 ```python
 from transformers import pipeline
 
-pretrained_model = "fathan/code-mixed-ijeroberta"
+pretrained_model = "fathan/ijeroberta-codemixed-roberta-base"
 
 fill_mask = pipeline(
     "fill-mask",