Updated links

README.md

@@ -64,13 +64,13 @@ model-index:
 
 # Auditor Review Sentiment Model
 
-This model has been finetuned from the proprietary version of [FinBERT](https://huggingface.co/demo-org/finbert-pretrain) trained internally using demo.org proprietary dataset of auditor evaluation of sentiment.  
+This model has been finetuned from the proprietary version of [FinBERT](https://huggingface.co/FinanceInc/finbert-pretrain) trained internally using demo.org proprietary dataset of auditor evaluation of sentiment.  
 
-FinBErt is a BERT model pre-trained on a large corpora of financial texts. The purpose is to enhance financial NLP research and practice in the financial domain, hoping that financial practitioners and researchers can benefit from this model without the necessity of the significant computational resources required to train the model.
+FinBERT is a BERT model pre-trained on a large corpora of financial texts. The purpose is to enhance financial NLP research and practice in the financial domain, hoping that financial practitioners and researchers can benefit from this model without the necessity of the significant computational resources required to train the model.
 
 # Training Data
 
-This model was fine-tuned using [Autotrain](https://ui.autotrain.huggingface.co/9802/trainings) from the demo-org/auditor_review review dataset.  
+This model was fine-tuned using [Autotrain](https://ui.autotrain.huggingface.co/11671/metrics) from the demo-org/auditor_review review dataset.  
 
 # Model Status
 This model is currently being evaluated in development until the end of the quarter.  Based on the results, it may be elevated to production.
@@ -91,7 +91,7 @@ The following hyperparameters were used during training:
 # Model Trained Using AutoTrain
 
 - Problem type: Multi-class Classification
-- Model ID: 1167143226
+- Model ID: [1167143226](https://huggingface.co/rajistics/autotrain-auditor-sentiment-1167143226)
 - CO2 Emissions (in grams): 3.165771608457648
 
 ## Validation Metrics