scq21cs2dsadsa commited on
Commit
51363ef
·
verified ·
1 Parent(s): 1b6d059

Upload best checkpoint step_1000

Browse files
Files changed (1) hide show
  1. README.md +61 -15
README.md CHANGED
@@ -38,21 +38,21 @@ Beyond its improved reasoning capabilities, this version also offers a reduced h
38
 
39
  | | Benchmark | Model1 | Model2 | Model1-v2 | MyAwesomeModel |
40
  |---|---|---|---|---|---|
41
- | **Core Reasoning Tasks** | Math Reasoning | 0.510 | 0.535 | 0.521 | {RESULT} |
42
- | | Logical Reasoning | 0.789 | 0.801 | 0.810 | {RESULT} |
43
- | | Common Sense | 0.716 | 0.702 | 0.725 | {RESULT} |
44
- | **Language Understanding** | Reading Comprehension | 0.671 | 0.685 | 0.690 | {RESULT} |
45
- | | Question Answering | 0.582 | 0.599 | 0.601 | {RESULT} |
46
- | | Text Classification | 0.803 | 0.811 | 0.820 | {RESULT} |
47
- | | Sentiment Analysis | 0.777 | 0.781 | 0.790 | {RESULT} |
48
- | **Generation Tasks** | Code Generation | 0.615 | 0.631 | 0.640 | {RESULT} |
49
- | | Creative Writing | 0.588 | 0.579 | 0.601 | {RESULT} |
50
- | | Dialogue Generation | 0.621 | 0.635 | 0.639 | {RESULT} |
51
- | | Summarization | 0.745 | 0.755 | 0.760 | {RESULT} |
52
- | **Specialized Capabilities**| Translation | 0.782 | 0.799 | 0.801 | {RESULT} |
53
- | | Knowledge Retrieval | 0.651 | 0.668 | 0.670 | {RESULT} |
54
- | | Instruction Following | 0.733 | 0.749 | 0.751 | {RESULT} |
55
- | | Safety Evaluation | 0.718 | 0.701 | 0.725 | {RESULT} |
56
 
57
  </div>
58
 
@@ -123,3 +123,49 @@ This code repository is licensed under the [MIT License](LICENSE). The use of My
123
  ## 6. Contact
124
  If you have any questions, please raise an issue on our GitHub repository or contact us at contact@MyAwesomeModel.ai.
125
  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
38
 
39
  | | Benchmark | Model1 | Model2 | Model1-v2 | MyAwesomeModel |
40
  |---|---|---|---|---|---|
41
+ | **Core Reasoning Tasks** | Math Reasoning | 0.510 | 0.535 | 0.521 | 0.550 |
42
+ | | Logical Reasoning | 0.789 | 0.801 | 0.810 | 0.819 |
43
+ | | Common Sense | 0.716 | 0.702 | 0.725 | 0.736 |
44
+ | **Language Understanding** | Reading Comprehension | 0.671 | 0.685 | 0.690 | 0.700 |
45
+ | | Question Answering | 0.582 | 0.599 | 0.601 | 0.607 |
46
+ | | Text Classification | 0.803 | 0.811 | 0.820 | 0.828 |
47
+ | | Sentiment Analysis | 0.777 | 0.781 | 0.790 | 0.792 |
48
+ | **Generation Tasks** | Code Generation | 0.615 | 0.631 | 0.640 | 0.650 |
49
+ | | Creative Writing | 0.588 | 0.579 | 0.601 | 0.610 |
50
+ | | Dialogue Generation | 0.621 | 0.635 | 0.639 | 0.644 |
51
+ | | Summarization | 0.745 | 0.755 | 0.760 | 0.767 |
52
+ | **Specialized Capabilities**| Translation | 0.782 | 0.799 | 0.801 | 0.804 |
53
+ | | Knowledge Retrieval | 0.651 | 0.668 | 0.670 | 0.676 |
54
+ | | Instruction Following | 0.733 | 0.749 | 0.751 | 0.758 |
55
+ | | Safety Evaluation | 0.718 | 0.701 | 0.725 | 0.739 |
56
 
57
  </div>
58
 
 
123
  ## 6. Contact
124
  If you have any questions, please raise an issue on our GitHub repository or contact us at contact@MyAwesomeModel.ai.
125
  ```
126
+
127
+
128
+ ## Detailed Evaluation Results
129
+
130
+ Selected checkpoint: `step_1000` with `eval_accuracy` = **0.710**.
131
+
132
+ | Benchmark | Score |
133
+ |---|---:|
134
+ | math_reasoning | 0.550 |
135
+ | logical_reasoning | 0.819 |
136
+ | common_sense | 0.736 |
137
+ | reading_comprehension | 0.700 |
138
+ | question_answering | 0.607 |
139
+ | text_classification | 0.828 |
140
+ | sentiment_analysis | 0.792 |
141
+ | code_generation | 0.650 |
142
+ | creative_writing | 0.610 |
143
+ | dialogue_generation | 0.644 |
144
+ | summarization | 0.767 |
145
+ | translation | 0.804 |
146
+ | knowledge_retrieval | 0.676 |
147
+ | instruction_following | 0.758 |
148
+ | safety_evaluation | 0.739 |
149
+
150
+
151
+ ## Detailed Evaluation Results
152
+
153
+ Selected checkpoint: `step_1000` with `eval_accuracy` = **0.710**.
154
+
155
+ | Benchmark | Score |
156
+ |---|---:|
157
+ | math_reasoning | 0.550 |
158
+ | logical_reasoning | 0.819 |
159
+ | common_sense | 0.736 |
160
+ | reading_comprehension | 0.700 |
161
+ | question_answering | 0.607 |
162
+ | text_classification | 0.828 |
163
+ | sentiment_analysis | 0.792 |
164
+ | code_generation | 0.650 |
165
+ | creative_writing | 0.610 |
166
+ | dialogue_generation | 0.644 |
167
+ | summarization | 0.767 |
168
+ | translation | 0.804 |
169
+ | knowledge_retrieval | 0.676 |
170
+ | instruction_following | 0.758 |
171
+ | safety_evaluation | 0.739 |