278 lines
7.8 KiB
Markdown
278 lines
7.8 KiB
Markdown
|
---
|
||
|
|
language:
|
||
|
|
- en
|
||
|
|
- code
|
||
|
|
license: apache-2.0
|
||
|
|
tags:
|
||
|
|
- merge
|
||
|
|
- computer science
|
||
|
|
datasets:
|
||
|
|
- open-phi/programming_books_llama
|
||
|
|
- open-phi/textbooks
|
||
|
|
inference:
|
||
|
|
parameters:
|
||
|
|
do_sample: true
|
||
|
|
temperature: 0.2
|
||
|
|
top_p: 0.14
|
||
|
|
top_k: 12
|
||
|
|
max_new_tokens: 250
|
||
|
|
repetition_penalty: 1.15
|
||
|
|
widget:
|
||
|
|
- text: 'To calculate the factorial of n, we can use the following function:'
|
||
|
|
model-index:
|
||
|
|
- name: TinyMistral-248M-v2.5
|
||
|
|
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: 24.57
|
||
|
|
name: normalized accuracy
|
||
|
|
source:
|
||
|
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/TinyMistral-248M-v2.5
|
||
|
|
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: 27.49
|
||
|
|
name: normalized accuracy
|
||
|
|
source:
|
||
|
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/TinyMistral-248M-v2.5
|
||
|
|
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: 23.15
|
||
|
|
name: accuracy
|
||
|
|
source:
|
||
|
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/TinyMistral-248M-v2.5
|
||
|
|
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: 46.72
|
||
|
|
source:
|
||
|
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/TinyMistral-248M-v2.5
|
||
|
|
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: 47.83
|
||
|
|
name: accuracy
|
||
|
|
source:
|
||
|
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/TinyMistral-248M-v2.5
|
||
|
|
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: 0.0
|
||
|
|
name: accuracy
|
||
|
|
source:
|
||
|
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/TinyMistral-248M-v2.5
|
||
|
|
name: Open LLM Leaderboard
|
||
|
|
- task:
|
||
|
|
type: text-generation
|
||
|
|
name: Text Generation
|
||
|
|
dataset:
|
||
|
|
name: IFEval (0-Shot)
|
||
|
|
type: HuggingFaceH4/ifeval
|
||
|
|
args:
|
||
|
|
num_few_shot: 0
|
||
|
|
metrics:
|
||
|
|
- type: inst_level_strict_acc and prompt_level_strict_acc
|
||
|
|
value: 13.36
|
||
|
|
name: strict accuracy
|
||
|
|
source:
|
||
|
|
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Locutusque/TinyMistral-248M-v2.5
|
||
|
|
name: Open LLM Leaderboard
|
||
|
|
- task:
|
||
|
|
type: text-generation
|
||
|
|
name: Text Generation
|
||
|
|
dataset:
|
||
|
|
name: BBH (3-Shot)
|
||
|
|
type: BBH
|
||
|
|
args:
|
||
|
|
num_few_shot: 3
|
||
|
|
metrics:
|
||
|
|
- type: acc_norm
|
||
|
|
value: 3.18
|
||
|
|
name: normalized accuracy
|
||
|
|
source:
|
||
|
|
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Locutusque/TinyMistral-248M-v2.5
|
||
|
|
name: Open LLM Leaderboard
|
||
|
|
- task:
|
||
|
|
type: text-generation
|
||
|
|
name: Text Generation
|
||
|
|
dataset:
|
||
|
|
name: MATH Lvl 5 (4-Shot)
|
||
|
|
type: hendrycks/competition_math
|
||
|
|
args:
|
||
|
|
num_few_shot: 4
|
||
|
|
metrics:
|
||
|
|
- type: exact_match
|
||
|
|
value: 0.0
|
||
|
|
name: exact match
|
||
|
|
source:
|
||
|
|
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Locutusque/TinyMistral-248M-v2.5
|
||
|
|
name: Open LLM Leaderboard
|
||
|
|
- task:
|
||
|
|
type: text-generation
|
||
|
|
name: Text Generation
|
||
|
|
dataset:
|
||
|
|
name: GPQA (0-shot)
|
||
|
|
type: Idavidrein/gpqa
|
||
|
|
args:
|
||
|
|
num_few_shot: 0
|
||
|
|
metrics:
|
||
|
|
- type: acc_norm
|
||
|
|
value: 0.11
|
||
|
|
name: acc_norm
|
||
|
|
source:
|
||
|
|
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Locutusque/TinyMistral-248M-v2.5
|
||
|
|
name: Open LLM Leaderboard
|
||
|
|
- task:
|
||
|
|
type: text-generation
|
||
|
|
name: Text Generation
|
||
|
|
dataset:
|
||
|
|
name: MuSR (0-shot)
|
||
|
|
type: TAUR-Lab/MuSR
|
||
|
|
args:
|
||
|
|
num_few_shot: 0
|
||
|
|
metrics:
|
||
|
|
- type: acc_norm
|
||
|
|
value: 5.07
|
||
|
|
name: acc_norm
|
||
|
|
source:
|
||
|
|
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Locutusque/TinyMistral-248M-v2.5
|
||
|
|
name: Open LLM Leaderboard
|
||
|
|
- task:
|
||
|
|
type: text-generation
|
||
|
|
name: Text Generation
|
||
|
|
dataset:
|
||
|
|
name: MMLU-PRO (5-shot)
|
||
|
|
type: TIGER-Lab/MMLU-Pro
|
||
|
|
config: main
|
||
|
|
split: test
|
||
|
|
args:
|
||
|
|
num_few_shot: 5
|
||
|
|
metrics:
|
||
|
|
- type: acc
|
||
|
|
value: 1.5
|
||
|
|
name: accuracy
|
||
|
|
source:
|
||
|
|
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Locutusque/TinyMistral-248M-v2.5
|
||
|
|
name: Open LLM Leaderboard
|
||
|
|
---
|
||
|
|
# TinyMistral-248M-v2.5
|
||
|
|
This model was created by merging TinyMistral-248M-v1 and v2, then further pretraining on synthetic textbooks. The resulting model's performance is superior to both, after personal evaluation.
|
||
|
|
|
||
|
|
During training, this model reached an average perplexity score of 4, outperforming V1 by nearly 7x, and V2 by 4x.
|
||
|
|
|
||
|
|
You can use the following config to reproduce the merged model:
|
||
|
|
|
||
|
|
```
|
||
|
|
base_model: Locutusque/TinyMistral-248M-v2
|
||
|
|
dtype: float16
|
||
|
|
merge_method: ties
|
||
|
|
parameters:
|
||
|
|
int8_mask: 1.0
|
||
|
|
normalize: 1.0
|
||
|
|
slices:
|
||
|
|
- sources:
|
||
|
|
- layer_range: [0, 12]
|
||
|
|
model: Locutusque/TinyMistral-248M
|
||
|
|
parameters:
|
||
|
|
density: [1.0, 0.7, 0.1]
|
||
|
|
weight: 1.0
|
||
|
|
- layer_range: [0, 12]
|
||
|
|
model: Locutusque/TinyMistral-248M-v2
|
||
|
|
parameters:
|
||
|
|
density: 0.5
|
||
|
|
weight: [0.0, 0.3, 0.7, 1.0]
|
||
|
|
```
|
||
|
|
|
||
|
|
This model can also answer basic questions, without needing to do any fine-tuning.
|
||
|
|
|
||
|
|
This model was also created as an attempt to fix the issue with V2 - the weights were prone to exploding gradients, making it difficult to fine-tune. This model is easier to fine-tune.
|
||
|
|
|
||
|
|
To get the best out of this model, I recommend installing it, and trying it out yourself, as the model's performance seems to degrade in the inference API.
|
||
|
|
# [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_Locutusque__TinyMistral-248M-v2.5)
|
||
|
|
|
||
|
|
| Metric |Value|
|
||
|
|
|---------------------------------|----:|
|
||
|
|
|Avg. |28.29|
|
||
|
|
|AI2 Reasoning Challenge (25-Shot)|24.57|
|
||
|
|
|HellaSwag (10-Shot) |27.49|
|
||
|
|
|MMLU (5-Shot) |23.15|
|
||
|
|
|TruthfulQA (0-shot) |46.72|
|
||
|
|
|Winogrande (5-shot) |47.83|
|
||
|
|
|GSM8k (5-shot) | 0.00|
|
||
|
|
|
||
|
|
|
||
|
|
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
|
||
|
|
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Locutusque__TinyMistral-248M-v2.5)
|
||
|
|
|
||
|
|
| Metric |Value|
|
||
|
|
|-------------------|----:|
|
||
|
|
|Avg. | 3.87|
|
||
|
|
|IFEval (0-Shot) |13.36|
|
||
|
|
|BBH (3-Shot) | 3.18|
|
||
|
|
|MATH Lvl 5 (4-Shot)| 0.00|
|
||
|
|
|GPQA (0-shot) | 0.11|
|
||
|
|
|MuSR (0-shot) | 5.07|
|
||
|
|
|MMLU-PRO (5-shot) | 1.50|
|
||
|
|
|