Update README.md

Add evaluation description

README.md

@@ -12,22 +12,22 @@ pipeline_tag: text-classification
 ### Model Description
 
 <!-- Provide a longer summary of what this model is. -->
-This is a deBERTa-v3-base model with an adapter trained on X tweets from [More Information Needed] finetuned for text classification. The model predicts whether a tweet supports a given conspiracy theory or not. The model was trained on tweets related to six common COVID-19 conspiracy theories.
+This is a  DeBERTa-v3-base-tasksource-nli model with an adapter trained on [More Information Needed, which contains X pairs of a tweet and a conspiracy theory along with class labels: support, denies, neutral. The model was finetuned for text classification to predict whether a tweet supports a given conspiracy theory or not. The model was trained on tweets related to six common COVID-19 conspiracy theories.
 
-1. **Vaccines are unsafe** The coronavirus vaccine is either unsafe or part of a larger plot to control people or reduce the population. 
+1. **Vaccines are unsafe.** The coronavirus vaccine is either unsafe or part of a larger plot to control people or reduce the population. 
 
-2. **Governments and politicians spread misinformation** Politicians or government agencies are intentionally spreading false information, or they have some other motive for the way they are responding to the coronavirus. 
+2. **Governments and politicians spread misinformation.** Politicians or government agencies are intentionally spreading false information, or they have some other motive for the way they are responding to the coronavirus. 
 
-3. **The Chinese intentionally spread the virus** The Chinese government intentionally created or spread the coronavirus to harm other countries. 
+3. **The Chinese intentionally spread the virus.** The Chinese government intentionally created or spread the coronavirus to harm other countries. 
 
-4. **Deliberate strategy to create economic instability or benefit large corporations** The coronavirus or the government's response to it is a deliberate strategy to create economic instability or to benefit large corporations over small businesses. 
+4. **Deliberate strategy to create economic instability or benefit large corporations.** The coronavirus or the government's response to it is a deliberate strategy to create economic instability or to benefit large corporations over small businesses. 
 
-5. **Public intentionally misled about the true nature of the virus and prevention** The public is being intentionally misled about the true nature of the Coronavirus, its risks, or the efficacy of certain treatments or prevention methods. 
+5. **Public was intentionally misled about the true nature of the virus and prevention.** The public is being intentionally misled about the true nature of the Coronavirus, its risks, or the efficacy of certain treatments or prevention methods. 
 
-6. **Human made and bioweapon** The Coronavirus was created intentionally, made by humans, or as a bioweapon. 
+6. **Human made and bioweapon.** The Coronavirus was created intentionally, made by humans, or as a bioweapon. 
 
 
-This model is suitable for English.
+This model is suitable for English only.
 
 - **Developed by:** Webimmunication Team
 - **Shared by [optional]:** @ikrysinska
@@ -44,10 +44,6 @@ This model is suitable for English.
 
 <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
 
-### Direct Use
-
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-
 [More Information Needed]
 
 ### Downstream Use [optional]
@@ -64,6 +60,7 @@ This model is suitable for English.
 
 ## Bias, Risks, and Limitations
 
+
 <!-- This section is meant to convey both technical and sociotechnical limitations. -->
 
 [More Information Needed]
@@ -90,26 +87,15 @@ Use the code below to get started with the model.
 
 ### Training Procedure 
 
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+The adapter was trained for 5 epochs with a batch size of 16. 
 
 #### Preprocessing [optional]
 
-- hashtags, mentions, punctuation.
-
-
-#### Training Hyperparameters
-
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-
-#### Speeds, Sizes, Times [optional]
-
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-
-[More Information Needed]
+The training data was cleaned before the training. All URLs, Twitter user mentions, and non-ASCII characters were removed. 
 
 ## Evaluation
 
-The model was evaluated on a sample 
+The model was evaluated on a sample of the tweets collected during the COVID-19 pandemic. All the tweets were rated against each of the six theories by five annotators. Using sliding scales, they rated each tweets' endorsement likelihood for the respective conspiracy theory from 0% to 100%. The consensus among raters was substantial for every conspiracy theory (see table below). 
 
 ### Testing Data, Factors & Metrics
 
@@ -121,7 +107,7 @@ The model was evaluated on a sample
 
 #### Factors
 
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+The evaluation dataset
 
 [More Information Needed]