Adding Evaluation Results
#1
by
leaderboard-pr-bot
- opened
README.md
CHANGED
@@ -1,12 +1,115 @@
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---
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library_name: peft
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base_model: Qwen/Qwen1.5-1.8B-Chat
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license: other
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language:
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- en
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tags:
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- text-generation-inference
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- sft
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---
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Lora sft finetuned version of Qwen/Qwen1.5-1.8B-Chat
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@@ -51,4 +154,17 @@ response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
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### Framework versions
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- PEFT 0.8.2
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---
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language:
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- en
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license: other
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library_name: peft
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tags:
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- text-generation-inference
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- sft
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base_model: Qwen/Qwen1.5-1.8B-Chat
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model-index:
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- name: finetune_test_qwen15-1-8b-sft-lora
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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: 36.18
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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=eren23/finetune_test_qwen15-1-8b-sft-lora
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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: 57.77
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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=eren23/finetune_test_qwen15-1-8b-sft-lora
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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: 44.96
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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=eren23/finetune_test_qwen15-1-8b-sft-lora
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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: 38.0
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/finetune_test_qwen15-1-8b-sft-lora
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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: 61.17
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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=eren23/finetune_test_qwen15-1-8b-sft-lora
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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: 21.53
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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=eren23/finetune_test_qwen15-1-8b-sft-lora
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name: Open LLM Leaderboard
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---
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Lora sft finetuned version of Qwen/Qwen1.5-1.8B-Chat
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### Framework versions
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- PEFT 0.8.2
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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_eren23__finetune_test_qwen15-1-8b-sft-lora)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |43.27|
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|AI2 Reasoning Challenge (25-Shot)|36.18|
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|HellaSwag (10-Shot) |57.77|
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|MMLU (5-Shot) |44.96|
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|TruthfulQA (0-shot) |38.00|
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|Winogrande (5-shot) |61.17|
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|GSM8k (5-shot) |21.53|
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