Update README.md

README.md

@@ -3,6 +3,7 @@ datasets:
 - cerebras/SlimPajama-627B
 - HuggingFaceH4/ultrachat_200k
 - bigcode/starcoderdata
+- HuggingFaceH4/ultrafeedback_binarized
 language:
 - en
 metrics:
@@ -15,56 +16,66 @@ tags:
 - Transformers
 license: mit
 widget:
-- text: "<|system|>\nYou are a chatbot who can code!</s>\n<|user|>\nWrite me a function to search for OEvortex on youtube use Webbrowser .</s>\n<|assistant|>\n"
-- text: "<|system|>\nYou are a chatbot who can be a teacher!</s>\n<|user|>\nExplain me working of AI .</s>\n<|assistant|>\n"
+- text: |
+    <|system|>
+    You are a chatbot who can code!</s>
+    <|user|>
+    Write me a function to search for OEvortex on youtube use Webbrowser .</s>
+    <|assistant|>
+- text: |
+    <|system|>
+    You are a chatbot who can be a teacher!</s>
+    <|user|>
+    Explain me working of AI .</s>
+    <|assistant|>
 model-index:
-  - name: HelpingAI-Lite
-    results:
-      - task:
-          type: text-generation
-        metrics:
-          - name: Epoch
-            type: Training Epoch
-            value: 3.0
-          - name: Eval Logits/Chosen
-            type: Evaluation Logits for Chosen Samples
-            value: -2.707406759262085
-          - name: Eval Logits/Rejected
-            type: Evaluation Logits for Rejected Samples
-            value: -2.65652441978546
-          - name: Eval Logps/Chosen
-            type: Evaluation Log-probabilities for Chosen Samples
-            value: -370.129670421875
-          - name: Eval Logps/Rejected
-            type: Evaluation Log-probabilities for Rejected Samples
-            value: -296.073825390625
-          - name: Eval Loss
-            type: Evaluation Loss
-            value: 0.513750433921814
-          - name: Eval Rewards/Accuracies
-            type: Evaluation Rewards and Accuracies
-            value: 0.738095223903656
-          - name: Eval Rewards/Chosen
-            type: Evaluation Rewards for Chosen Samples
-            value: -0.0274422804903984
-          - name: Eval Rewards/Margins
-            type: Evaluation Rewards Margins
-            value: 1.008722543614307
-          - name: Eval Rewards/Rejected
-            type: Evaluation Rewards for Rejected Samples
-            value: -1.03616464138031
-          - name: Eval Runtime
-            type: Evaluation Runtime
-            value: 93.5908
-          - name: Eval Samples
-            type: Number of Evaluation Samples
-            value: 2000
-          - name: Eval Samples per Second
-            type: Evaluation Samples per Second
-            value: 21.37
-          - name: Eval Steps per Second
-            type: Evaluation Steps per Second
-            value: 0.673
+- name: HelpingAI-Lite
+  results:
+  - task:
+      type: text-generation
+    metrics:
+    - name: Epoch
+      type: Training Epoch
+      value: 3
+    - name: Eval Logits/Chosen
+      type: Evaluation Logits for Chosen Samples
+      value: -2.707406759262085
+    - name: Eval Logits/Rejected
+      type: Evaluation Logits for Rejected Samples
+      value: -2.65652441978546
+    - name: Eval Logps/Chosen
+      type: Evaluation Log-probabilities for Chosen Samples
+      value: -370.129670421875
+    - name: Eval Logps/Rejected
+      type: Evaluation Log-probabilities for Rejected Samples
+      value: -296.073825390625
+    - name: Eval Loss
+      type: Evaluation Loss
+      value: 0.513750433921814
+    - name: Eval Rewards/Accuracies
+      type: Evaluation Rewards and Accuracies
+      value: 0.738095223903656
+    - name: Eval Rewards/Chosen
+      type: Evaluation Rewards for Chosen Samples
+      value: -0.0274422804903984
+    - name: Eval Rewards/Margins
+      type: Evaluation Rewards Margins
+      value: 1.008722543614307
+    - name: Eval Rewards/Rejected
+      type: Evaluation Rewards for Rejected Samples
+      value: -1.03616464138031
+    - name: Eval Runtime
+      type: Evaluation Runtime
+      value: 93.5908
+    - name: Eval Samples
+      type: Number of Evaluation Samples
+      value: 2000
+    - name: Eval Samples per Second
+      type: Evaluation Samples per Second
+      value: 21.37
+    - name: Eval Steps per Second
+      type: Evaluation Steps per Second
+      value: 0.673
 ---
 
 # HelpingAI-Lite
@@ -124,5 +135,4 @@ prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_genera
 outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
 
 # Print the generated text
-print(outputs[0]["generated_text"])
-
+print(outputs[0]["generated_text"])