File size: 5,476 Bytes
d1ff550 05aa86a d1ff550 05aa86a 9cd3099 d1ff550 963f003 9cd3099 d1ff550 d2de66b 9cd3099 d2de66b ebf0183 9cd3099 ebf0183 9cd3099 8ff98ca 9cd3099 8ff98ca ebf0183 8ff98ca ebf0183 9cd3099 8ff98ca ebf0183 2ad076a ebf0183 d2de66b ebf0183 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 |
---
dataset_info:
features:
- name: output
dtype: string
- name: instruction
dtype: string
splits:
- name: arithmetic.float2_train
num_bytes: 645500.3
num_examples: 19000
- name: arithmetic.float2_valid
num_bytes: 33973.7
num_examples: 1000
- name: arithmetic.float3_train
num_bytes: 1890863.85
num_examples: 47500
- name: arithmetic.float3_valid
num_bytes: 99519.15
num_examples: 2500
- name: arithmetic.float34_train
num_bytes: 9321513.05
num_examples: 218500
- name: arithmetic.float34_valid
num_bytes: 490605.95
num_examples: 11500
- name: arithmetic.float4_train
num_bytes: 21671996.6
num_examples: 475000
- name: arithmetic.float4_valid
num_bytes: 1140631.4
num_examples: 25000
download_size: 27928049
dataset_size: 35294604
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
tags:
- math
- finance
license: cc-by-nc-nd-4.0
task_categories:
- text-generation
- question-answering
pretty_name: Simple Math
size_categories:
- 100K<n<1M
---
# Simple Math
Just like my teacher gave me homework, i thought maybe we can also add some of these basics on the trainings of our models.
It was created with very simple code that is in the repo, if you add more complex operations and so.. **please share the code** :D thank you
Current Code Version: 20240127.fblgit (A modification over @win10 for progressive and DPO operation)
## Does it Works?
### 34BEAGLES Evaluation:
```
hf (pretrained=/data/models/UNA-34Beagles-v1-final,dtype=bfloat16,trust_remote_code=True), gen_kwargs: (None), limit: None, num_fewshot: None, batch_size: auto (8)
| Tasks |Version|Filter|n-shot| Metric |Value | |Stderr|
|--------------|-------|------|-----:|--------|-----:|---|-----:|
|arc_challenge |Yaml |none | 25|acc |0.7039|± |0.0133|
| | |none | 25|acc_norm|0.7321|± |0.0129|
|truthfulqa_mc2|Yaml |none | 0|acc |0.7387|± |0.0141|
hf (pretrained=/data/models/UNA-34Beagles-v1-final,dtype=bfloat16,trust_remote_code=True), gen_kwargs: (None), limit: None, num_fewshot: None, batch_size: auto
|Tasks|Version| Filter |n-shot| Metric |Value | |Stderr|
|-----|-------|----------|-----:|-----------|-----:|---|-----:|
|gsm8k|Yaml |get-answer| 5|exact_match|0.6399|± |0.0132|
| Groups |Version|Filter|n-shot|Metric|Value | |Stderr|
|------------------|-------|------|-----:|------|-----:|---|-----:|
|mmlu |N/A |none | 0|acc |0.7477|± |0.1079|
| - humanities |N/A |none | 0|acc |0.7188|± |0.0855|
| - other |N/A |none | 0|acc |0.7950|± |0.1057|
| - social_sciences|N/A |none | 0|acc |0.8297|± |0.0664|
| - stem |N/A |none | 0|acc |0.6641|± |0.1291|
```
### 34BEAGLES-MATH Evaluation
```
hf (pretrained=/data/models/34BeaglesMath-v1,dtype=bfloat16,trust_remote_code=True), gen_kwargs: (None), limit: None, num_fewshot: None, batch_size: auto
|Tasks|Version| Filter |n-shot| Metric |Value | |Stderr|
|-----|-------|----------|-----:|-----------|-----:|---|-----:|
|gsm8k|Yaml |get-answer| 5|exact_match|0.6505|± |0.0131|
hf (pretrained=/data/models/34BeaglesMath-v1,dtype=bfloat16,trust_remote_code=True), gen_kwargs: (None), limit: None, num_fewshot: None, batch_size: auto (8)
| Tasks |Version|Filter|n-shot| Metric |Value | |Stderr|
|--------------|-------|------|-----:|--------|-----:|---|-----:|
|arc_challenge |Yaml |none | 25|acc |0.7090|± |0.0133|
| | |none | 25|acc_norm|0.7329|± |0.0129|
|truthfulqa_mc2|Yaml |none | 0|acc |0.7378|± |0.0141|
| Groups |Version|Filter|n-shot|Metric|Value | |Stderr|
|------------------|-------|------|-----:|------|-----:|---|-----:|
|mmlu |N/A |none | 0|acc |0.7524|± |0.1045|
| - humanities |N/A |none | 0|acc |0.7307|± |0.0846|
| - other |N/A |none | 0|acc |0.7937|± |0.1029|
| - social_sciences|N/A |none | 0|acc |0.8274|± |0.0667|
| - stem |N/A |none | 0|acc |0.6708|± |0.1236|
```
But it gets better, because when increasing length and complexity, the marks are even superior:
```
|Tasks|Version| Filter |n-shot| Metric |Value | |Stderr|
|-----|-------|----------|-----:|-----------|-----:|---|-----:|
|gsm8k|Yaml |get-answer| 5|exact_match|0.6611|± | 0.013|
```
On a 3.20% GSM Improvement compared to its base model.
## Note to contributors:
**thank you to those contributing on the experiment with beautiful commits and good spirit**
* Feel free to contribute on the readme Evaluation tests.
* Lets aim to build an ablation & paper together. All contributors will be cited.
## Versions
```
27.01.24 Added new code to generate the dataset, seed 42 and now also generates DPO.
24.01.24 Added gradual complexity on a separate script
20-23.01.24 Multiple contributions with operations and increased complexity on the main generator script.
```
## Citations
If you use Simple Math o train your model, please cite on the modelcard or the paper.
```
@misc{simplemath,
title={Simple-Math: 2+2=4 4-1=3},
author={Xavier Murias},
year={2024},
publisher = {Juanako.AI},
journal = {HuggingFace repository},
howpublished = {\url{https://huggingface.co/datasets/fblgit/simple-math}},
}
``` |