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Model: ethicalabs/Kurtis-E1.1-Qwen2.5-3B-Instruct Source: Original Platform
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212
README.md
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README.md
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---
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library_name: transformers
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license: mit
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datasets:
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- ethicalabs/Kurtis-E1-SFT
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language:
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- en
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base_model:
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- Qwen/Qwen2.5-3B-Instruct
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pipeline_tag: text-generation
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---
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# Model Card for Kurtis-E1.1-Qwen2.5-3B-Instruct
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Kurtis E1.1 fine-tuned with [flower](https://flower.ai/)
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## Eval Results
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Evaluation tasks were performed with the [LM Evaluation Harness](https://github.com/EleutherAI/lm-evaluation-harness) on an NVIDIA A40.
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### hellaswag
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```
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lm_eval --model hf --model_args pretrained=ethicalabs/Kurtis-E1.1-Qwen2.5-3B-Instruct --tasks hellaswag --device cuda:0 --batch_size 8
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```
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| Tasks |Version|Filter|n-shot| Metric | |Value | |Stderr|
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|---------|------:|------|-----:|--------|---|-----:|---|-----:|
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|hellaswag| 1|none | 0|acc |↑ |0.5555|± |0.0050|
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| | |none | 0|acc_norm|↑ |0.7412|± |0.0044|
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### arc_easy
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```
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lm_eval --model hf --model_args pretrained=ethicalabs/Kurtis-E1.1-Qwen2.5-3B-Instruct --tasks arc_easy --device cuda:0 --batch_size 8
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```
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| Tasks |Version|Filter|n-shot| Metric | |Value | |Stderr|
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|--------|------:|------|-----:|--------|---|-----:|---|-----:|
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|arc_easy| 1|none | 0|acc |↑ |0.7710|± |0.0086|
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| | |none | 0|acc_norm|↑ |0.6789|± |0.0096|
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### arc_challenge
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```
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lm_eval --model hf --model_args pretrained=ethicalabs/Kurtis-E1.1-Qwen2.5-3B-Instruct --tasks arc_challenge --device cuda:0 --batch_size 8
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```
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| Tasks |Version|Filter|n-shot| Metric | |Value| |Stderr|
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|-------------|------:|------|-----:|--------|---|----:|---|-----:|
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|arc_challenge| 1|none | 0|acc |↑ |0.436|± |0.0145|
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| | |none | 0|acc_norm|↑ |0.448|± |0.0145|
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### mmlu
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```
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lm_eval --model hf --model_args pretrained=ethicalabs/Kurtis-E1.1-Qwen2.5-3B-Instruct --tasks mmlu --device cuda:0 --batch_size 8
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```
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| Tasks |Version|Filter|n-shot|Metric| |Value | |Stderr|
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|---------------------------------------|------:|------|-----:|------|---|-----:|---|-----:|
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|mmlu | 2|none | |acc |↑ |0.6522|± |0.0038|
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||||
| - humanities | 2|none | |acc |↑ |0.5734|± |0.0066|
|
||||
| - formal_logic | 1|none | 0|acc |↑ |0.4603|± |0.0446|
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||||
| - high_school_european_history | 1|none | 0|acc |↑ |0.7939|± |0.0316|
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| - high_school_us_history | 1|none | 0|acc |↑ |0.8333|± |0.0262|
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| - high_school_world_history | 1|none | 0|acc |↑ |0.8397|± |0.0239|
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| - international_law | 1|none | 0|acc |↑ |0.7769|± |0.0380|
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| - jurisprudence | 1|none | 0|acc |↑ |0.7963|± |0.0389|
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| - logical_fallacies | 1|none | 0|acc |↑ |0.7975|± |0.0316|
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| - moral_disputes | 1|none | 0|acc |↑ |0.6850|± |0.0250|
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| - moral_scenarios | 1|none | 0|acc |↑ |0.2905|± |0.0152|
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| - philosophy | 1|none | 0|acc |↑ |0.7106|± |0.0258|
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| - prehistory | 1|none | 0|acc |↑ |0.7438|± |0.0243|
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| - professional_law | 1|none | 0|acc |↑ |0.4759|± |0.0128|
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| - world_religions | 1|none | 0|acc |↑ |0.8246|± |0.0292|
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| - other | 2|none | |acc |↑ |0.7087|± |0.0079|
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| - business_ethics | 1|none | 0|acc |↑ |0.7300|± |0.0446|
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| - clinical_knowledge | 1|none | 0|acc |↑ |0.7321|± |0.0273|
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| - college_medicine | 1|none | 0|acc |↑ |0.6705|± |0.0358|
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| - global_facts | 1|none | 0|acc |↑ |0.3900|± |0.0490|
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| - human_aging | 1|none | 0|acc |↑ |0.7130|± |0.0304|
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| - management | 1|none | 0|acc |↑ |0.7961|± |0.0399|
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| - marketing | 1|none | 0|acc |↑ |0.8803|± |0.0213|
|
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| - medical_genetics | 1|none | 0|acc |↑ |0.7600|± |0.0429|
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| - miscellaneous | 1|none | 0|acc |↑ |0.7957|± |0.0144|
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| - nutrition | 1|none | 0|acc |↑ |0.7353|± |0.0253|
|
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| - professional_accounting | 1|none | 0|acc |↑ |0.5426|± |0.0297|
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| - professional_medicine | 1|none | 0|acc |↑ |0.6434|± |0.0291|
|
||||
| - virology | 1|none | 0|acc |↑ |0.4880|± |0.0389|
|
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| - social sciences | 2|none | |acc |↑ |0.7618|± |0.0076|
|
||||
| - econometrics | 1|none | 0|acc |↑ |0.5439|± |0.0469|
|
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| - high_school_geography | 1|none | 0|acc |↑ |0.7677|± |0.0301|
|
||||
| - high_school_government_and_politics| 1|none | 0|acc |↑ |0.8860|± |0.0229|
|
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| - high_school_macroeconomics | 1|none | 0|acc |↑ |0.6949|± |0.0233|
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| - high_school_microeconomics | 1|none | 0|acc |↑ |0.7773|± |0.0270|
|
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| - high_school_psychology | 1|none | 0|acc |↑ |0.8477|± |0.0154|
|
||||
| - human_sexuality | 1|none | 0|acc |↑ |0.7786|± |0.0364|
|
||||
| - professional_psychology | 1|none | 0|acc |↑ |0.7075|± |0.0184|
|
||||
| - public_relations | 1|none | 0|acc |↑ |0.6818|± |0.0446|
|
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| - security_studies | 1|none | 0|acc |↑ |0.7224|± |0.0287|
|
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| - sociology | 1|none | 0|acc |↑ |0.8458|± |0.0255|
|
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| - us_foreign_policy | 1|none | 0|acc |↑ |0.8400|± |0.0368|
|
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| - stem | 2|none | |acc |↑ |0.6070|± |0.0085|
|
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| - abstract_algebra | 1|none | 0|acc |↑ |0.4700|± |0.0502|
|
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| - anatomy | 1|none | 0|acc |↑ |0.6667|± |0.0407|
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| - astronomy | 1|none | 0|acc |↑ |0.6776|± |0.0380|
|
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| - college_biology | 1|none | 0|acc |↑ |0.7222|± |0.0375|
|
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| - college_chemistry | 1|none | 0|acc |↑ |0.5000|± |0.0503|
|
||||
| - college_computer_science | 1|none | 0|acc |↑ |0.6000|± |0.0492|
|
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| - college_mathematics | 1|none | 0|acc |↑ |0.3400|± |0.0476|
|
||||
| - college_physics | 1|none | 0|acc |↑ |0.4902|± |0.0497|
|
||||
| - computer_security | 1|none | 0|acc |↑ |0.7000|± |0.0461|
|
||||
| - conceptual_physics | 1|none | 0|acc |↑ |0.6468|± |0.0312|
|
||||
| - electrical_engineering | 1|none | 0|acc |↑ |0.6690|± |0.0392|
|
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| - elementary_mathematics | 1|none | 0|acc |↑ |0.5979|± |0.0253|
|
||||
| - high_school_biology | 1|none | 0|acc |↑ |0.8129|± |0.0222|
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| - high_school_chemistry | 1|none | 0|acc |↑ |0.5813|± |0.0347|
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| - high_school_computer_science | 1|none | 0|acc |↑ |0.7800|± |0.0416|
|
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| - high_school_mathematics | 1|none | 0|acc |↑ |0.5037|± |0.0305|
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| - high_school_physics | 1|none | 0|acc |↑ |0.4437|± |0.0406|
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| - high_school_statistics | 1|none | 0|acc |↑ |0.5972|± |0.0334|
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| - machine_learning | 1|none | 0|acc |↑ |0.4554|± |0.0473|
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| Groups |Version|Filter|n-shot|Metric| |Value | |Stderr|
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|------------------|------:|------|------|------|---|-----:|---|-----:|
|
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|mmlu | 2|none | |acc |↑ |0.6522|± |0.0038|
|
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| - humanities | 2|none | |acc |↑ |0.5734|± |0.0066|
|
||||
| - other | 2|none | |acc |↑ |0.7087|± |0.0079|
|
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| - social sciences| 2|none | |acc |↑ |0.7618|± |0.0076|
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| - stem | 2|none | |acc |↑ |0.6070|± |0.0085|
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### mmlu (5-shot)
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|
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```
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lm_eval --model hf --model_args pretrained=ethicalabs/Kurtis-E1.1-Qwen2.5-3B-Instruct --tasks mmlu --device cuda:0 --batch_size 8 --num_fewshot 5
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```
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| Tasks |Version|Filter|n-shot|Metric| |Value | |Stderr|
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||||
|---------------------------------------|------:|------|-----:|------|---|-----:|---|-----:|
|
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|mmlu | 2|none | |acc |↑ |0.6629|± |0.0038|
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| - humanities | 2|none | |acc |↑ |0.5862|± |0.0067|
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| - formal_logic | 1|none | 5|acc |↑ |0.4683|± |0.0446|
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| - high_school_european_history | 1|none | 5|acc |↑ |0.7818|± |0.0323|
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| - high_school_us_history | 1|none | 5|acc |↑ |0.8284|± |0.0265|
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| - high_school_world_history | 1|none | 5|acc |↑ |0.8692|± |0.0219|
|
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| - international_law | 1|none | 5|acc |↑ |0.7769|± |0.0380|
|
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| - jurisprudence | 1|none | 5|acc |↑ |0.7963|± |0.0389|
|
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| - logical_fallacies | 1|none | 5|acc |↑ |0.8098|± |0.0308|
|
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| - moral_disputes | 1|none | 5|acc |↑ |0.7110|± |0.0244|
|
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| - moral_scenarios | 1|none | 5|acc |↑ |0.3464|± |0.0159|
|
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| - philosophy | 1|none | 5|acc |↑ |0.7042|± |0.0259|
|
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| - prehistory | 1|none | 5|acc |↑ |0.7284|± |0.0247|
|
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| - professional_law | 1|none | 5|acc |↑ |0.4759|± |0.0128|
|
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| - world_religions | 1|none | 5|acc |↑ |0.8304|± |0.0288|
|
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| - other | 2|none | |acc |↑ |0.7171|± |0.0078|
|
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| - business_ethics | 1|none | 5|acc |↑ |0.7400|± |0.0441|
|
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| - clinical_knowledge | 1|none | 5|acc |↑ |0.7321|± |0.0273|
|
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| - college_medicine | 1|none | 5|acc |↑ |0.6647|± |0.0360|
|
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| - global_facts | 1|none | 5|acc |↑ |0.4100|± |0.0494|
|
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| - human_aging | 1|none | 5|acc |↑ |0.7220|± |0.0301|
|
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| - management | 1|none | 5|acc |↑ |0.7864|± |0.0406|
|
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| - marketing | 1|none | 5|acc |↑ |0.8889|± |0.0206|
|
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| - medical_genetics | 1|none | 5|acc |↑ |0.7900|± |0.0409|
|
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| - miscellaneous | 1|none | 5|acc |↑ |0.7957|± |0.0144|
|
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| - nutrition | 1|none | 5|acc |↑ |0.7680|± |0.0242|
|
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| - professional_accounting | 1|none | 5|acc |↑ |0.5532|± |0.0297|
|
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| - professional_medicine | 1|none | 5|acc |↑ |0.6471|± |0.0290|
|
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| - virology | 1|none | 5|acc |↑ |0.5120|± |0.0389|
|
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| - social sciences | 2|none | |acc |↑ |0.7735|± |0.0075|
|
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| - econometrics | 1|none | 5|acc |↑ |0.5877|± |0.0463|
|
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| - high_school_geography | 1|none | 5|acc |↑ |0.7828|± |0.0294|
|
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| - high_school_government_and_politics| 1|none | 5|acc |↑ |0.8756|± |0.0238|
|
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| - high_school_macroeconomics | 1|none | 5|acc |↑ |0.7051|± |0.0231|
|
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| - high_school_microeconomics | 1|none | 5|acc |↑ |0.7773|± |0.0270|
|
||||
| - high_school_psychology | 1|none | 5|acc |↑ |0.8550|± |0.0151|
|
||||
| - human_sexuality | 1|none | 5|acc |↑ |0.8092|± |0.0345|
|
||||
| - professional_psychology | 1|none | 5|acc |↑ |0.7288|± |0.0180|
|
||||
| - public_relations | 1|none | 5|acc |↑ |0.6909|± |0.0443|
|
||||
| - security_studies | 1|none | 5|acc |↑ |0.7551|± |0.0275|
|
||||
| - sociology | 1|none | 5|acc |↑ |0.8308|± |0.0265|
|
||||
| - us_foreign_policy | 1|none | 5|acc |↑ |0.8300|± |0.0378|
|
||||
| - stem | 2|none | |acc |↑ |0.6159|± |0.0084|
|
||||
| - abstract_algebra | 1|none | 5|acc |↑ |0.5000|± |0.0503|
|
||||
| - anatomy | 1|none | 5|acc |↑ |0.6222|± |0.0419|
|
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| - astronomy | 1|none | 5|acc |↑ |0.7500|± |0.0352|
|
||||
| - college_biology | 1|none | 5|acc |↑ |0.7083|± |0.0380|
|
||||
| - college_chemistry | 1|none | 5|acc |↑ |0.4700|± |0.0502|
|
||||
| - college_computer_science | 1|none | 5|acc |↑ |0.6200|± |0.0488|
|
||||
| - college_mathematics | 1|none | 5|acc |↑ |0.4000|± |0.0492|
|
||||
| - college_physics | 1|none | 5|acc |↑ |0.4902|± |0.0497|
|
||||
| - computer_security | 1|none | 5|acc |↑ |0.8200|± |0.0386|
|
||||
| - conceptual_physics | 1|none | 5|acc |↑ |0.6383|± |0.0314|
|
||||
| - electrical_engineering | 1|none | 5|acc |↑ |0.6483|± |0.0398|
|
||||
| - elementary_mathematics | 1|none | 5|acc |↑ |0.5820|± |0.0254|
|
||||
| - high_school_biology | 1|none | 5|acc |↑ |0.8161|± |0.0220|
|
||||
| - high_school_chemistry | 1|none | 5|acc |↑ |0.6059|± |0.0344|
|
||||
| - high_school_computer_science | 1|none | 5|acc |↑ |0.7500|± |0.0435|
|
||||
| - high_school_mathematics | 1|none | 5|acc |↑ |0.4926|± |0.0305|
|
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| - high_school_physics | 1|none | 5|acc |↑ |0.4702|± |0.0408|
|
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| - high_school_statistics | 1|none | 5|acc |↑ |0.6343|± |0.0328|
|
||||
| - machine_learning | 1|none | 5|acc |↑ |0.4911|± |0.0475|
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|
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| Groups |Version|Filter|n-shot|Metric| |Value | |Stderr|
|
||||
|------------------|------:|------|------|------|---|-----:|---|-----:|
|
||||
|mmlu | 2|none | |acc |↑ |0.6629|± |0.0038|
|
||||
| - humanities | 2|none | |acc |↑ |0.5862|± |0.0067|
|
||||
| - other | 2|none | |acc |↑ |0.7171|± |0.0078|
|
||||
| - social sciences| 2|none | |acc |↑ |0.7735|± |0.0075|
|
||||
| - stem | 2|none | |acc |↑ |0.6159|± |0.0084|
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24
added_tokens.json
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24
added_tokens.json
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{
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"</tool_call>": 151658,
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"<tool_call>": 151657,
|
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"<|box_end|>": 151649,
|
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"<|box_start|>": 151648,
|
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"<|endoftext|>": 151643,
|
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"<|file_sep|>": 151664,
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"<|fim_middle|>": 151660,
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"<|fim_pad|>": 151662,
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"<|fim_prefix|>": 151659,
|
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"<|fim_suffix|>": 151661,
|
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"<|im_end|>": 151645,
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"<|im_start|>": 151644,
|
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"<|image_pad|>": 151655,
|
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"<|object_ref_end|>": 151647,
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|
||||
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|
||||
}
|
||||
31
special_tokens_map.json
Normal file
31
special_tokens_map.json
Normal file
@@ -0,0 +1,31 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
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|
||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
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|
||||
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|
||||
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|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
||||
size 11421896
|
||||
208
tokenizer_config.json
Normal file
208
tokenizer_config.json
Normal file
@@ -0,0 +1,208 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
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||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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||||
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|
||||
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||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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|
||||
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||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
],
|
||||
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|
||||
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are a compassionate and empathetic mental-health assistant named Kurtis, trained by ethicalabs.ai.\nYou provide thoughtful and supportive responses to user queries.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are a compassionate and empathetic mental-health assistant named Kurtis, trained by ethicalabs.ai.\nYou provide thoughtful and supportive responses to user queries.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"pad_token": "<|endoftext|>",
|
||||
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|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user