Update README.md

README.md

@@ -26,11 +26,97 @@ This is a progressive (mostly dare-ties, but also slerp) merge with the intentio
 
 There is also a 4q_k_m quantized [GGUF](https://huggingface.co/cstr/Spaetzle-v69-7b-GGUF).
 
+It should work sufficiently well with ChatML prompt template (for all merged models should have seen ChatML prompts at least in DPO stage).
+
+## Evaluation
+
+Benchmark scores are not the possible optimum, as the model attempts a compromise with a number of parameters, like German language performance, instruction following, reasoning capabilities, robustness (so far, i did not encounter inserted tokens, e.g.), model licensing, and other criteria.
+Nevertheless, they are not too bad:
+
 It achieves (running quantized) in 
 - German EQ Bench: Score (v2_de): 62.59 (Parseable: 171.0).
 - English EQ Bench: Score (v2): 76.43 (Parseable: 171.0).
 
-It should work sufficiently well with ChatML prompt template (for all merged models should have seen ChatML prompts at least in DPO stage).
+|                            Model                             |AGIEval|GPT4All|TruthfulQA|Bigbench|Average|
+|--------------------------------------------------------------|------:|------:|---------:|-------:|------:|
+|[Spaetzle-v69-7b](https://huggingface.co/cstr/Spaetzle-v69-7b)|  44.48|  75.84|     66.15|   46.59|  58.27|
+
+### AGIEval
+|             Task             |Version| Metric |Value|   |Stderr|
+|------------------------------|------:|--------|----:|---|-----:|
+|agieval_aqua_rat              |      0|acc     |25.98|±  |  2.76|
+|                              |       |acc_norm|23.62|±  |  2.67|
+|agieval_logiqa_en             |      0|acc     |39.78|±  |  1.92|
+|                              |       |acc_norm|39.48|±  |  1.92|
+|agieval_lsat_ar               |      0|acc     |23.48|±  |  2.80|
+|                              |       |acc_norm|23.91|±  |  2.82|
+|agieval_lsat_lr               |      0|acc     |50.00|±  |  2.22|
+|                              |       |acc_norm|51.76|±  |  2.21|
+|agieval_lsat_rc               |      0|acc     |63.94|±  |  2.93|
+|                              |       |acc_norm|64.31|±  |  2.93|
+|agieval_sat_en                |      0|acc     |76.70|±  |  2.95|
+|                              |       |acc_norm|77.67|±  |  2.91|
+|agieval_sat_en_without_passage|      0|acc     |46.12|±  |  3.48|
+|                              |       |acc_norm|44.17|±  |  3.47|
+|agieval_sat_math              |      0|acc     |34.09|±  |  3.20|
+|                              |       |acc_norm|30.91|±  |  3.12|
+
+Average: 44.48%
+
+### GPT4All
+|    Task     |Version| Metric |Value|   |Stderr|
+|-------------|------:|--------|----:|---|-----:|
+|arc_challenge|      0|acc     |63.23|±  |  1.41|
+|             |       |acc_norm|64.16|±  |  1.40|
+|arc_easy     |      0|acc     |85.90|±  |  0.71|
+|             |       |acc_norm|82.49|±  |  0.78|
+|boolq        |      1|acc     |87.80|±  |  0.57|
+|hellaswag    |      0|acc     |67.05|±  |  0.47|
+|             |       |acc_norm|85.19|±  |  0.35|
+|openbookqa   |      0|acc     |38.40|±  |  2.18|
+|             |       |acc_norm|48.40|±  |  2.24|
+|piqa         |      0|acc     |82.75|±  |  0.88|
+|             |       |acc_norm|84.28|±  |  0.85|
+|winogrande   |      0|acc     |78.53|±  |  1.15|
+
+Average: 75.84%
+
+### TruthfulQA
+|    Task     |Version|Metric|Value|   |Stderr|
+|-------------|------:|------|----:|---|-----:|
+|truthfulqa_mc|      1|mc1   |50.67|±  |  1.75|
+|             |       |mc2   |66.15|±  |  1.48|
+
+Average: 66.15%
+
+### Bigbench
+|                      Task                      |Version|       Metric        |Value|   |Stderr|
+|------------------------------------------------|------:|---------------------|----:|---|-----:|
+|bigbench_causal_judgement                       |      0|multiple_choice_grade|56.84|±  |  3.60|
+|bigbench_date_understanding                     |      0|multiple_choice_grade|66.67|±  |  2.46|
+|bigbench_disambiguation_qa                      |      0|multiple_choice_grade|40.70|±  |  3.06|
+|bigbench_geometric_shapes                       |      0|multiple_choice_grade|24.79|±  |  2.28|
+|                                                |       |exact_str_match      |10.58|±  |  1.63|
+|bigbench_logical_deduction_five_objects         |      0|multiple_choice_grade|31.00|±  |  2.07|
+|bigbench_logical_deduction_seven_objects        |      0|multiple_choice_grade|23.00|±  |  1.59|
+|bigbench_logical_deduction_three_objects        |      0|multiple_choice_grade|58.00|±  |  2.85|
+|bigbench_movie_recommendation                   |      0|multiple_choice_grade|45.80|±  |  2.23|
+|bigbench_navigate                               |      0|multiple_choice_grade|52.10|±  |  1.58|
+|bigbench_reasoning_about_colored_objects        |      0|multiple_choice_grade|69.55|±  |  1.03|
+|bigbench_ruin_names                             |      0|multiple_choice_grade|48.88|±  |  2.36|
+|bigbench_salient_translation_error_detection    |      0|multiple_choice_grade|30.96|±  |  1.46|
+|bigbench_snarks                                 |      0|multiple_choice_grade|73.48|±  |  3.29|
+|bigbench_sports_understanding                   |      0|multiple_choice_grade|74.14|±  |  1.40|
+|bigbench_temporal_sequences                     |      0|multiple_choice_grade|42.70|±  |  1.56|
+|bigbench_tracking_shuffled_objects_five_objects |      0|multiple_choice_grade|23.60|±  |  1.20|
+|bigbench_tracking_shuffled_objects_seven_objects|      0|multiple_choice_grade|18.40|±  |  0.93|
+|bigbench_tracking_shuffled_objects_three_objects|      0|multiple_choice_grade|58.00|±  |  2.85|
+
+Average: 46.59%
+
+Average score: 58.27%
+
+## 🧩 Merge Configuration
 
 Spaetzle-v69-7b is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
 * [abideen/AlphaMonarch-dora](https://huggingface.co/abideen/AlphaMonarch-dora)
@@ -53,8 +139,7 @@ The merge tree in total involves the following original models:
   - [FelixChao/WestSeverus-7B-DPO-v2](https://huggingface.co/FelixChao/WestSeverus-7B-DPO-v2)
   - [cognitivecomputations/openchat-3.5-0106-laser](https://huggingface.co/cognitivecomputations/openchat-3.5-0106-laser)
 
-
-## 🧩 Configuration
+For this last merge:
 
 ```yaml
 models: