---
license: cc-by-nc-4.0
library_name: transformers
model-index:
- name: SOLAR-10.7b-Instruct-dpo
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: AI2 Reasoning Challenge (25-Shot)
      type: ai2_arc
      config: ARC-Challenge
      split: test
      args:
        num_few_shot: 25
    metrics:
    - type: acc_norm
      value: 71.76
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/SOLAR-10.7b-Instruct-dpo
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: HellaSwag (10-Shot)
      type: hellaswag
      split: validation
      args:
        num_few_shot: 10
    metrics:
    - type: acc_norm
      value: 88.08
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/SOLAR-10.7b-Instruct-dpo
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU (5-Shot)
      type: cais/mmlu
      config: all
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 66.06
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/SOLAR-10.7b-Instruct-dpo
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: TruthfulQA (0-shot)
      type: truthful_qa
      config: multiple_choice
      split: validation
      args:
        num_few_shot: 0
    metrics:
    - type: mc2
      value: 71.98
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/SOLAR-10.7b-Instruct-dpo
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: Winogrande (5-shot)
      type: winogrande
      config: winogrande_xl
      split: validation
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 82.32
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/SOLAR-10.7b-Instruct-dpo
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GSM8k (5-shot)
      type: gsm8k
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 61.03
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/SOLAR-10.7b-Instruct-dpo
      name: Open LLM Leaderboard
---

# SOLAR-10.7b-Instruct-dpo

![orca-header](orca-header.png)

This model is a finetune of  upstage/SOLAR-10.7B-Instruct-v1.0 using Intel/orca_dpo_pairs

## Chat Template

This model follows the chatML chat template.


## Evaluations

### EQ Bench comparison with base model

These scores are the average of 3 iterations.

----Benchmark Complete----
+ 2024-01-25 04:41:01
+ Time taken: 236.1 mins
+ Prompt Format: ChatML
+ Model: macadeliccc/SOLAR-10.7b-Instruct-dpo
+ Score (v2): 72.79
+ Parseable: 165.67
---------------
Batch completed
Time taken: 236.1 mins
---------------

as compared to the original model:

----Benchmark Complete----
+ 2024-01-25 08:45:02
+ Time taken: 244.0 mins
+ Prompt Format: ChatML
+ Model: [upstage/SOLAR-10.7B-Instruct-v1.0](https://huggingface.co/upstage/SOLAR-10.7B-Instruct-v1.0)
+ Score (v2): 71.03
+ Parseable: 165.67
---------------
Batch completed
Time taken: 480.1 mins
---------------



|                                         Model                                         |AGIEval|GPT4All|TruthfulQA|Bigbench|Average|
|---------------------------------------------------------------------------------------|------:|------:|---------:|-------:|------:|
|[SOLAR-10.7b-Instruct-dpo](https://huggingface.co/macadeliccc/SOLAR-10.7b-Instruct-dpo)|  47.57|   74.3|     72.73|   45.76|  60.09|

### AGIEval
|             Task             |Version| Metric |Value|   |Stderr|
|------------------------------|------:|--------|----:|---|-----:|
|agieval_aqua_rat              |      0|acc     |27.56|±  |  2.81|
|                              |       |acc_norm|26.77|±  |  2.78|
|agieval_logiqa_en             |      0|acc     |41.63|±  |  1.93|
|                              |       |acc_norm|41.32|±  |  1.93|
|agieval_lsat_ar               |      0|acc     |25.22|±  |  2.87|
|                              |       |acc_norm|24.35|±  |  2.84|
|agieval_lsat_lr               |      0|acc     |54.12|±  |  2.21|
|                              |       |acc_norm|54.31|±  |  2.21|
|agieval_lsat_rc               |      0|acc     |68.77|±  |  2.83|
|                              |       |acc_norm|69.14|±  |  2.82|
|agieval_sat_en                |      0|acc     |79.13|±  |  2.84|
|                              |       |acc_norm|79.13|±  |  2.84|
|agieval_sat_en_without_passage|      0|acc     |44.66|±  |  3.47|
|                              |       |acc_norm|44.66|±  |  3.47|
|agieval_sat_math              |      0|acc     |40.45|±  |  3.32|
|                              |       |acc_norm|40.91|±  |  3.32|

Average: 47.57%

### GPT4All
|    Task     |Version| Metric |Value|   |Stderr|
|-------------|------:|--------|----:|---|-----:|
|arc_challenge|      0|acc     |60.49|±  |  1.43|
|             |       |acc_norm|63.74|±  |  1.40|
|arc_easy     |      0|acc     |82.07|±  |  0.79|
|             |       |acc_norm|79.92|±  |  0.82|
|boolq        |      1|acc     |88.56|±  |  0.56|
|hellaswag    |      0|acc     |68.47|±  |  0.46|
|             |       |acc_norm|86.06|±  |  0.35|
|openbookqa   |      0|acc     |36.20|±  |  2.15|
|             |       |acc_norm|46.60|±  |  2.23|
|piqa         |      0|acc     |79.38|±  |  0.94|
|             |       |acc_norm|79.71|±  |  0.94|
|winogrande   |      0|acc     |75.53|±  |  1.21|

Average: 74.3%

### TruthfulQA
|    Task     |Version|Metric|Value|   |Stderr|
|-------------|------:|------|----:|---|-----:|
|truthfulqa_mc|      1|mc1   |57.77|±  |  1.73|
|             |       |mc2   |72.73|±  |  1.49|

Average: 72.73%

### Bigbench
|                      Task                      |Version|       Metric        |Value|   |Stderr|
|------------------------------------------------|------:|---------------------|----:|---|-----:|
|bigbench_causal_judgement                       |      0|multiple_choice_grade|55.26|±  |  3.62|
|bigbench_date_understanding                     |      0|multiple_choice_grade|62.87|±  |  2.52|
|bigbench_disambiguation_qa                      |      0|multiple_choice_grade|46.51|±  |  3.11|
|bigbench_geometric_shapes                       |      0|multiple_choice_grade|25.63|±  |  2.31|
|                                                |       |exact_str_match      | 0.00|±  |  0.00|
|bigbench_logical_deduction_five_objects         |      0|multiple_choice_grade|28.00|±  |  2.01|
|bigbench_logical_deduction_seven_objects        |      0|multiple_choice_grade|20.57|±  |  1.53|
|bigbench_logical_deduction_three_objects        |      0|multiple_choice_grade|46.67|±  |  2.89|
|bigbench_movie_recommendation                   |      0|multiple_choice_grade|41.80|±  |  2.21|
|bigbench_navigate                               |      0|multiple_choice_grade|64.00|±  |  1.52|
|bigbench_reasoning_about_colored_objects        |      0|multiple_choice_grade|60.00|±  |  1.10|
|bigbench_ruin_names                             |      0|multiple_choice_grade|39.96|±  |  2.32|
|bigbench_salient_translation_error_detection    |      0|multiple_choice_grade|47.90|±  |  1.58|
|bigbench_snarks                                 |      0|multiple_choice_grade|64.09|±  |  3.58|
|bigbench_sports_understanding                   |      0|multiple_choice_grade|71.10|±  |  1.44|
|bigbench_temporal_sequences                     |      0|multiple_choice_grade|59.90|±  |  1.55|
|bigbench_tracking_shuffled_objects_five_objects |      0|multiple_choice_grade|24.96|±  |  1.22|
|bigbench_tracking_shuffled_objects_seven_objects|      0|multiple_choice_grade|17.89|±  |  0.92|
|bigbench_tracking_shuffled_objects_three_objects|      0|multiple_choice_grade|46.67|±  |  2.89|

Average: 45.76%

Average score: 60.09%

Elapsed time: 02:10:16
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_macadeliccc__SOLAR-10.7b-Instruct-dpo)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |73.54|
|AI2 Reasoning Challenge (25-Shot)|71.76|
|HellaSwag (10-Shot)              |88.08|
|MMLU (5-Shot)                    |66.06|
|TruthfulQA (0-shot)              |71.98|
|Winogrande (5-shot)              |82.32|
|GSM8k (5-shot)                   |61.03|