Update README.md
Browse files
README.md
CHANGED
@@ -10,140 +10,63 @@ metrics:
|
|
10 |
- accuracy
|
11 |
base_model:
|
12 |
- deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
|
|
|
13 |
---
|
14 |
|
15 |
-
|
16 |
|
17 |
-
|
18 |
-
|
19 |
-
|
20 |
-
|
21 |
-
## Model Details
|
22 |
|
23 |
-
|
24 |
|
25 |
-
<!-- Provide a
|
26 |
-
|
27 |
-
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
|
28 |
|
29 |
-
- **
|
30 |
-
- **Model type:** [More Information Needed]
|
31 |
-
- **Language(s) (NLP):** [More Information Needed]
|
32 |
-
- **License:** [More Information Needed]
|
33 |
-
- **Finetuned from model [optional]:** [More Information Needed]
|
34 |
|
35 |
-
|
36 |
|
37 |
-
<!-- Provide the basic links for the model. -->
|
38 |
|
39 |
-
- **
|
40 |
-
- **
|
41 |
-
- **
|
|
|
|
|
|
|
42 |
|
43 |
## Uses
|
44 |
|
45 |
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
|
|
46 |
|
47 |
-
|
48 |
-
|
49 |
-
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
50 |
-
|
51 |
-
[More Information Needed]
|
52 |
-
|
53 |
-
### Downstream Use [optional]
|
54 |
-
|
55 |
-
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
56 |
-
|
57 |
-
[More Information Needed]
|
58 |
-
|
59 |
-
### Out-of-Scope Use
|
60 |
|
61 |
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
62 |
-
|
63 |
-
[More Information Needed]
|
64 |
|
65 |
## Bias, Risks, and Limitations
|
66 |
|
67 |
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
68 |
-
|
69 |
-
[More Information Needed]
|
70 |
-
|
71 |
-
### Recommendations
|
72 |
-
|
73 |
-
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
74 |
-
|
75 |
-
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
76 |
-
|
77 |
-
## How to Get Started with the Model
|
78 |
-
|
79 |
-
Use the code below to get started with the model.
|
80 |
-
|
81 |
-
[More Information Needed]
|
82 |
|
83 |
## Training Details
|
84 |
|
85 |
### Training Data
|
86 |
|
87 |
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
88 |
-
|
89 |
-
[More Information Needed]
|
90 |
|
91 |
### Training Procedure
|
92 |
|
93 |
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
94 |
-
|
95 |
-
#### Preprocessing [optional]
|
96 |
-
|
97 |
-
[More Information Needed]
|
98 |
-
|
99 |
-
|
100 |
-
#### Training Hyperparameters
|
101 |
-
|
102 |
-
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
103 |
-
|
104 |
-
#### Speeds, Sizes, Times [optional]
|
105 |
-
|
106 |
-
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
107 |
-
|
108 |
-
[More Information Needed]
|
109 |
|
110 |
## Evaluation
|
111 |
|
112 |
<!-- This section describes the evaluation protocols and provides the results. -->
|
113 |
|
114 |
-
### Testing Data, Factors & Metrics
|
115 |
-
|
116 |
-
#### Testing Data
|
117 |
-
|
118 |
-
<!-- This should link to a Dataset Card if possible. -->
|
119 |
-
|
120 |
-
[More Information Needed]
|
121 |
-
|
122 |
-
#### Factors
|
123 |
-
|
124 |
-
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
125 |
-
|
126 |
-
[More Information Needed]
|
127 |
-
|
128 |
-
#### Metrics
|
129 |
-
|
130 |
-
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
131 |
-
|
132 |
-
[More Information Needed]
|
133 |
-
|
134 |
-
### Results
|
135 |
-
|
136 |
-
[More Information Needed]
|
137 |
-
|
138 |
-
#### Summary
|
139 |
-
|
140 |
-
|
141 |
-
|
142 |
-
## Model Examination [optional]
|
143 |
-
|
144 |
-
<!-- Relevant interpretability work for the model goes here -->
|
145 |
-
|
146 |
-
[More Information Needed]
|
147 |
|
148 |
## Environmental Impact
|
149 |
|
@@ -157,28 +80,16 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
|
|
157 |
- **Compute Region:** us-east5
|
158 |
- **Carbon Emitted:** 0.07 kg
|
159 |
|
160 |
-
##
|
161 |
-
|
162 |
-
### Model Architecture and Objective
|
163 |
-
|
164 |
-
[More Information Needed]
|
165 |
-
|
166 |
-
### Compute Infrastructure
|
167 |
-
|
168 |
-
[More Information Needed]
|
169 |
-
|
170 |
-
#### Hardware
|
171 |
-
|
172 |
-
[More Information Needed]
|
173 |
-
|
174 |
-
#### Software
|
175 |
-
|
176 |
-
[More Information Needed]
|
177 |
-
|
178 |
-
## Citation [optional]
|
179 |
|
180 |
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
181 |
|
182 |
-
|
183 |
-
|
184 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
10 |
- accuracy
|
11 |
base_model:
|
12 |
- deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
|
13 |
+
pipeline_tag: text-generation
|
14 |
---
|
15 |
|
16 |
+
[](https://github.com/oumi-ai/oumi)
|
17 |
|
18 |
+
[](https://oumi.ai/docs/en/latest/index.html)
|
19 |
+
[](https://oumi.ai/blog)
|
20 |
+
[](https://discord.gg/oumi)
|
|
|
|
|
21 |
|
22 |
+
# MiniMath-R1-1.5B
|
23 |
|
24 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
25 |
+
Supervised fine-tune of [DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B) using [oumi-ai/MetaMathQA-R1](https://huggingface.co/datasets/oumi-ai/MetaMathQA-R1).
|
|
|
26 |
|
27 |
+
Achieves **44.4% accuracy on MMLU-Pro-Math**, the **highest of any model with <=1.5B parameters**.
|
|
|
|
|
|
|
|
|
28 |
|
29 |
+
Improves the base model's accuracy by **+6 points**.
|
30 |
|
|
|
31 |
|
32 |
+
- **Developed by:** [Oumi AI](https://oumi.ai/)
|
33 |
+
- **Model type:** Small Language Model
|
34 |
+
- **Language(s) (NLP):** English
|
35 |
+
- **License:** [Apache 2.0](https://opensource.org/license/apache-2-0)
|
36 |
+
- **Finetuned from model:** [DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B)
|
37 |
+
- **Demo:** [Fine-Tuning Notebook](https://github.com/oumi-ai/oumi/blob/307436bd98706cb9ce7b0bbf31204770af2b7c8c/notebooks/Oumi%20-%20MiniMath-R1-1.5B.ipynb)
|
38 |
|
39 |
## Uses
|
40 |
|
41 |
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
42 |
+
Use as a conversational assistant for solving math problems with an exposed thought process.
|
43 |
|
44 |
+
## Out-of-Scope Use
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
45 |
|
46 |
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
47 |
+
Smaller LLMs have limited capabilities and should be used with caution. Avoid using this model for purposes outside of mathematics.
|
|
|
48 |
|
49 |
## Bias, Risks, and Limitations
|
50 |
|
51 |
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
52 |
+
This model was finetuned with DeepSeek-R1 data on top of an R1-distill model, so any biases or risks associated with those models may be present.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
53 |
|
54 |
## Training Details
|
55 |
|
56 |
### Training Data
|
57 |
|
58 |
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
59 |
+
Training data: [oumi-ai/MetaMathQA-R1](https://huggingface.co/datasets/oumi-ai/MetaMathQA-R1)
|
|
|
60 |
|
61 |
### Training Procedure
|
62 |
|
63 |
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
64 |
+
Training notebook: [Fine-Tuning Notebook](https://github.com/oumi-ai/oumi/blob/307436bd98706cb9ce7b0bbf31204770af2b7c8c/notebooks/Oumi%20-%20MiniMath-R1-1.5B.ipynb)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
65 |
|
66 |
## Evaluation
|
67 |
|
68 |
<!-- This section describes the evaluation protocols and provides the results. -->
|
69 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
70 |
|
71 |
## Environmental Impact
|
72 |
|
|
|
80 |
- **Compute Region:** us-east5
|
81 |
- **Carbon Emitted:** 0.07 kg
|
82 |
|
83 |
+
## Citation
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
84 |
|
85 |
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
86 |
|
87 |
+
```
|
88 |
+
@software{oumi2025,
|
89 |
+
author = {Oumi Community},
|
90 |
+
title = {Oumi: an Open, End-to-end Platform for Building Large Foundation Models},
|
91 |
+
month = {January},
|
92 |
+
year = {2025},
|
93 |
+
url = {https://github.com/oumi-ai/oumi}
|
94 |
+
}
|
95 |
+
```
|