File size: 3,611 Bytes
425ee46 c761ff2 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 | ---
language:
- zho
- eng
- fra
- spa
- por
- deu
- ita
- rus
- jpn
- kor
- vie
- tha
- ara
license: mit
datasets:
- fdyrd/MATH
base_model:
- Qwen/Qwen2.5-0.5B
library_name: transformers
tags:
- text-generation-inference
metrics:
- accuracy
---
# QwenMath
A generation LLM which can solve math problems.
## Training Statistics
```yaml
training-method: lora
training-time: "5:42"
data-size: 500
epoch: 3
total_flos: "1372250GF"
train_loss: 0.6441
train_samples_per_second: 4.385
train_steps_per_second: 0.544
```
## Validation Set Performance
Dataset used: test split of [fdyrd/MATH](https://huggingface.co/datasets/fdyrd/MATH).
Metric: accuracy
<table>
<tr>
<th> Level </th>
<th> Algebra </th>
<th> Intermediate Algebra </th>
<th> Prealgebra </th>
<th> Precalculus </th>
<th> Number Theory </th>
<th> Geometry </th>
<th> Counting & Probability </th>
<th> Average </th>
</tr>
<tr>
<td> Level 1 </td>
<td> 0.541 : 135 </td>
<td> 0.192 : 52 </td>
<td> 0.477 : 86 </td>
<td> 0.228 : 57 </td>
<td> 0.467 : 30 </td>
<td> 0.263 : 38 </td>
<td> 0.359 : 39 </td>
<td> 0.361 </td>
</tr>
<tr>
<td> Level 2 </td>
<td> 0.323 : 201 </td>
<td> 0.109 : 128 </td>
<td> 0.367 : 177 </td>
<td> 0.044 : 113 </td>
<td> 0.38 : 92 </td>
<td> 0.134 : 82 </td>
<td> 0.248 : 101 </td>
<td> 0.229 </td>
</tr>
<tr>
<td> Level 3 </td>
<td> 0.291 : 261 </td>
<td> 0.046 : 195 </td>
<td> 0.308 : 224 </td>
<td> 0.0 : 127 </td>
<td> 0.262 : 122 </td>
<td> 0.088 : 102 </td>
<td> 0.16 : 100 </td>
<td> 0.165 </td>
</tr>
<tr>
<td> Level 4 </td>
<td> 0.18 : 283 </td>
<td> 0.024 : 248 </td>
<td> 0.22 : 191 </td>
<td> 0.009 : 114 </td>
<td> 0.169 : 142 </td>
<td> 0.064 : 125 </td>
<td> 0.09 : 111 </td>
<td> 0.108 </td>
</tr>
<tr>
<td> Level 5 </td>
<td> 0.088 : 307 </td>
<td> 0.004 : 280 </td>
<td> 0.104 : 193 </td>
<td> 0.0 : 135 </td>
<td> 0.136 : 154 </td>
<td> 0.023 : 132 </td>
<td> 0.065 : 123 </td>
<td> 0.06 </td>
</tr>
<tr>
<td> Average </td>
<td> 0.285 </td>
<td> 0.075 </td>
<td> 0.295 </td>
<td> 0.056 </td>
<td> 0.283 </td>
<td> 0.114 </td>
<td> 0.184 </td>
<td> 0.166 </td>
</tr>
</table>
## Test Set Performance
```json
[
{
"dataset": "MATH500",
"url": "https://huggingface.co/datasets/qq8933/MATH500",
"accuracy": 0.286
},
{
"dataset": "GSM8K",
"url": "https://huggingface.co/datasets/openai/gsm8k",
"accuracy": 0.382
}
]
``` |