Update README.md

README.md

@@ -8,10 +8,6 @@ model-index:
 - name: distilbert-base-uncased-Financial_Sentiment_Analysis
   results: []
 ---
-
-<!-- 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. -->
-
 # distilbert-base-uncased-Finanacial_Sentiment_Analysis
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
@@ -22,7 +18,9 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+This project classifies input samples as one of the following: negative, neutral, or positive.
+
+For more information on how it was created, check out the following link: https://github.com/DunnBC22/NLP_Projects/blob/main/Sentiment%20Analysis/Financial%20Sentiment%20Analysis/Financial%20Sentiment%20Analysis-Updated%20Version.ipynb
 
 ## Intended uses & limitations
 
@@ -30,7 +28,10 @@ More information needed
 
 ## Training and evaluation data
 
-More information needed
+There were two datasets that I concatenated:
+- https://www.kaggle.com/datasets/sbhatti/financial-sentiment-analysis
+- https://www.kaggle.com/datasets/ankurzing/sentiment-analysis-for-financial-news
+
 
 ## Training procedure
 
@@ -55,10 +56,14 @@ The following hyperparameters were used during training:
 | 0.2049        | 4.0   | 536  | 0.3066          | 0.8463   | 0.8506   |
 | 0.1802        | 5.0   | 670  | 0.3079          | 0.8529   | 0.8564   |
 
-
 ### Framework versions
 
 - Transformers 4.22.1
 - Pytorch 1.12.1
 - Datasets 2.4.0
 - Tokenizers 0.12.1
+
+### Similar Models
+You can find two models similar to this one that I completed at these links:
+- https://huggingface.co/DunnBC22/fnet-large-Financial_Sentiment_Analysis_v3
+- https://huggingface.co/DunnBC22/fnet-base-Financial_Sentiment_Analysis