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Model: macadeliccc/SOLAR-10.7b-Instruct-truthy-dpo Source: Original Platform
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README.md
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---
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license: cc
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library_name: transformers
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model-index:
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- name: SOLAR-10.7b-Instruct-truthy-dpo
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: AI2 Reasoning Challenge (25-Shot)
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type: ai2_arc
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config: ARC-Challenge
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split: test
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args:
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num_few_shot: 25
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metrics:
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- type: acc_norm
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value: 72.1
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/SOLAR-10.7b-Instruct-truthy-dpo
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: HellaSwag (10-Shot)
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type: hellaswag
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split: validation
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args:
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num_few_shot: 10
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metrics:
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- type: acc_norm
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value: 88.44
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/SOLAR-10.7b-Instruct-truthy-dpo
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU (5-Shot)
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type: cais/mmlu
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config: all
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 65.45
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/SOLAR-10.7b-Instruct-truthy-dpo
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: TruthfulQA (0-shot)
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type: truthful_qa
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config: multiple_choice
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split: validation
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args:
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num_few_shot: 0
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metrics:
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- type: mc2
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value: 76.75
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/SOLAR-10.7b-Instruct-truthy-dpo
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: Winogrande (5-shot)
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type: winogrande
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config: winogrande_xl
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split: validation
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 82.72
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||||
name: accuracy
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||||
source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/SOLAR-10.7b-Instruct-truthy-dpo
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GSM8k (5-shot)
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type: gsm8k
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 59.21
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=macadeliccc/SOLAR-10.7b-Instruct-truthy-dpo
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name: Open LLM Leaderboard
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---
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# SOLAR-10.7b-Instruct-truthy-dpo
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This model is a finetune of [macadeliccc/SOLAR-10.7b-Instruct-truthy-dpo](https://huggingface.co/macadeliccc/SOLAR-10.7b-Instruct-dpo)
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## Process
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1. I finetuned upstageai/Solar-10.7b-Instruct-v0.1 with 1 epoch of Intel/orca_dpo_pairs (12.4k samples)
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2. I futher finetuned that model with 3 epochs of jondurbin/truthy-dpo-v0.1 (1.04k samples)
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3. This process is experimental and the base model linked above is more tested at this time.
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## GGUF
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Available [here](https://huggingface.co/macadeliccc/SOLAR-10.7b-Instruct-truthy-dpo-GGUF)
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## Evaluations
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----Benchmark Complete----
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+ 2024-01-26 20:57:38
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+ Time taken: 25.4 mins
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+ Prompt Format: ChatML
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+ Model: macadeliccc/SOLAR-10.7b-Instruct-truthy-dpo-GGUF
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+ Score (v2): 74.11
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+ Parseable: 171.0
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---------------
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Batch completed
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Time taken: 25.5 mins
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---------------
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| Model |AGIEval|GPT4All|TruthfulQA|Bigbench|Average|
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|-----------------------------------------------------------------------------------------------------|------:|------:|---------:|-------:|------:|
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|[SOLAR-10.7b-Instruct-truthy-dpo](https://huggingface.co/macadeliccc/SOLAR-10.7b-Instruct-truthy-dpo)| 48.69| 73.82| 76.81| 45.71| 61.26|
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### AGIEval
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| Task |Version| Metric |Value| |Stderr|
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|------------------------------|------:|--------|----:|---|-----:|
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|agieval_aqua_rat | 0|acc |27.95|± | 2.82|
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| | |acc_norm|27.95|± | 2.82|
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|agieval_logiqa_en | 0|acc |42.40|± | 1.94|
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| | |acc_norm|42.24|± | 1.94|
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|agieval_lsat_ar | 0|acc |25.65|± | 2.89|
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| | |acc_norm|23.91|± | 2.82|
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|agieval_lsat_lr | 0|acc |54.12|± | 2.21|
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| | |acc_norm|54.51|± | 2.21|
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|agieval_lsat_rc | 0|acc |69.89|± | 2.80|
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| | |acc_norm|69.89|± | 2.80|
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|agieval_sat_en | 0|acc |80.10|± | 2.79|
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| | |acc_norm|80.10|± | 2.79|
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|agieval_sat_en_without_passage| 0|acc |50.00|± | 3.49|
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| | |acc_norm|49.51|± | 3.49|
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|agieval_sat_math | 0|acc |42.27|± | 3.34|
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| | |acc_norm|41.36|± | 3.33|
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Average: 48.69%
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### GPT4All
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| Task |Version| Metric |Value| |Stderr|
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|-------------|------:|--------|----:|---|-----:|
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|arc_challenge| 0|acc |59.90|± | 1.43|
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| | |acc_norm|63.91|± | 1.40|
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|arc_easy | 0|acc |80.85|± | 0.81|
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| | |acc_norm|78.16|± | 0.85|
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|boolq | 1|acc |88.20|± | 0.56|
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|hellaswag | 0|acc |68.34|± | 0.46|
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| | |acc_norm|86.39|± | 0.34|
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|openbookqa | 0|acc |37.60|± | 2.17|
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| | |acc_norm|46.80|± | 2.23|
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|piqa | 0|acc |78.84|± | 0.95|
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| | |acc_norm|78.78|± | 0.95|
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|winogrande | 0|acc |74.51|± | 1.22|
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Average: 73.82%
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### TruthfulQA
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| Task |Version|Metric|Value| |Stderr|
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|-------------|------:|------|----:|---|-----:|
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|truthfulqa_mc| 1|mc1 |61.81|± | 1.70|
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| | |mc2 |76.81|± | 1.42|
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Average: 76.81%
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### Bigbench
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| Task |Version| Metric |Value| |Stderr|
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||||
|------------------------------------------------|------:|---------------------|----:|---|-----:|
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|bigbench_causal_judgement | 0|multiple_choice_grade|50.53|± | 3.64|
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|bigbench_date_understanding | 0|multiple_choice_grade|63.14|± | 2.51|
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|bigbench_disambiguation_qa | 0|multiple_choice_grade|47.67|± | 3.12|
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|bigbench_geometric_shapes | 0|multiple_choice_grade|26.18|± | 2.32|
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| | |exact_str_match | 0.00|± | 0.00|
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|bigbench_logical_deduction_five_objects | 0|multiple_choice_grade|28.60|± | 2.02|
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|bigbench_logical_deduction_seven_objects | 0|multiple_choice_grade|21.29|± | 1.55|
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|bigbench_logical_deduction_three_objects | 0|multiple_choice_grade|47.33|± | 2.89|
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|bigbench_movie_recommendation | 0|multiple_choice_grade|39.80|± | 2.19|
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|bigbench_navigate | 0|multiple_choice_grade|63.80|± | 1.52|
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|bigbench_reasoning_about_colored_objects | 0|multiple_choice_grade|59.05|± | 1.10|
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|bigbench_ruin_names | 0|multiple_choice_grade|40.18|± | 2.32|
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|bigbench_salient_translation_error_detection | 0|multiple_choice_grade|46.69|± | 1.58|
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|bigbench_snarks | 0|multiple_choice_grade|65.19|± | 3.55|
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|bigbench_sports_understanding | 0|multiple_choice_grade|72.41|± | 1.42|
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|bigbench_temporal_sequences | 0|multiple_choice_grade|60.30|± | 1.55|
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|bigbench_tracking_shuffled_objects_five_objects | 0|multiple_choice_grade|25.76|± | 1.24|
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|bigbench_tracking_shuffled_objects_seven_objects| 0|multiple_choice_grade|17.43|± | 0.91|
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|bigbench_tracking_shuffled_objects_three_objects| 0|multiple_choice_grade|47.33|± | 2.89|
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Average: 45.71%
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Average score: 61.26%
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Elapsed time: 02:16:03
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_macadeliccc__SOLAR-10.7b-Instruct-truthy-dpo)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |74.11|
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|AI2 Reasoning Challenge (25-Shot)|72.10|
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|HellaSwag (10-Shot) |88.44|
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|MMLU (5-Shot) |65.45|
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|TruthfulQA (0-shot) |76.75|
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|Winogrande (5-shot) |82.72|
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|GSM8k (5-shot) |59.21|
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config.json
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"_name_or_path": "macadeliccc/SOLAR-10.7b-Instruct-dpo",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 48,
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"num_key_value_heads": 8,
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"pad_token_id": 2,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.37.1",
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"use_cache": true,
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"vocab_size": 32000
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}
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|
||||
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|
||||
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00005.safetensors",
|
||||
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00005.safetensors",
|
||||
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00005.safetensors",
|
||||
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00005.safetensors",
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||||
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00005.safetensors",
|
||||
"model.layers.8.input_layernorm.weight": "model-00001-of-00005.safetensors",
|
||||
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00005.safetensors",
|
||||
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00005.safetensors",
|
||||
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00005.safetensors",
|
||||
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00005.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00005.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00005.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00005.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00005.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00001-of-00005.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00005.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00005.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00005.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00005.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00005.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00005.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00005.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00005.safetensors",
|
||||
"model.norm.weight": "model-00005-of-00005.safetensors"
|
||||
}
|
||||
}
|
||||
3
orca-bagel.png
Normal file
3
orca-bagel.png
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:d0267454212a7cce2d128b442bb48afac603aa6d4debb9e03de0d5017de5fb6b
|
||||
size 1810733
|
||||
30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
91122
tokenizer.json
Normal file
91122
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
Binary file not shown.
43
tokenizer_config.json
Normal file
43
tokenizer_config.json
Normal file
@@ -0,0 +1,43 @@
|
||||
{
|
||||
"add_bos_token": true,
|
||||
"add_eos_token": false,
|
||||
"added_tokens_decoder": {
|
||||
"0": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"1": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"2": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [],
|
||||
"bos_token": "<s>",
|
||||
"chat_template": "{% for message in messages %}{% if message['role'] == 'system' %}{% if message['content']%}{{'### System:\n' + message['content']+'\n\n'}}{% endif %}{% elif message['role'] == 'user' %}{{'### User:\n' + message['content']+'\n\n'}}{% elif message['role'] == 'assistant' %}{{'### Assistant:\n' + message['content']}}{% endif %}{% if loop.last and add_generation_prompt %}{{ '### Assistant:\n' }}{% endif %}{% endfor %}",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "</s>",
|
||||
"legacy": true,
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": "</s>",
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": true
|
||||
}
|
||||
Reference in New Issue
Block a user