mirror of https://github.com/InternLM/InternLM
Merge branch 'add_performance' into 'main'
[Doc] Add performance for internlm2.5 See merge request openmmlab/bigmodel/InternLM!11pull/752/head
lvchengqi
commit
9d72e387de
|
|
@ -17,9 +17,9 @@ The model has the following characteristics:
|
|||
## Model Zoo
|
||||
|
||||
| Model | Transformers(HF) | ModelScope(HF) | OpenXLab(HF) | OpenXLab(Origin) | Release Date |
|
||||
| ------------------------- | ------------------------------------------ | ---------------------------------------- | -------------------------------------- | ------------------------------------------- | ------------ |
|
||||
| -------------------------- | ------------------------------------------ | ---------------------------------------- | -------------------------------------- | ------------------------------------------ | ------------ |
|
||||
| **InternLM2.5-7B** | [🤗internlm2_5-7b](https://huggingface.co/internlm/internlm2_5-7b) | [<img src="../assets/modelscope_logo.png" width="20px" /> internlm2_5-7b](https://www.modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-7b) | [](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-7b) | [](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-7b-original) | 2024-07-01 |
|
||||
| **InternLM2.5-chat-7B** | [🤗internlm2_5-7b-chat](https://huggingface.co/internlm/internlm2_5-7b-chat) | [<img src="../assets/modelscope_logo.png" width="20px" /> internlm2_5-7b-chat](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-7b-chat) | [](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-7b-chat) | [](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-7b-chat-original) | 2024-07-01 |
|
||||
| **InternLM2.5-Chat-7B** | [🤗internlm2_5-7b-chat](https://huggingface.co/internlm/internlm2_5-7b-chat) | [<img src="../assets/modelscope_logo.png" width="20px" /> internlm2_5-7b-chat](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-7b-chat) | [](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-7b-chat) | [](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-7b-chat-original) | 2024-07-01 |
|
||||
| **InternLM2.5-7B-Chat-1M** | [🤗internlm2_5-7b-chat-1m](https://huggingface.co/internlm/internlm2_5-7b-chat-1m) | [<img src="../assets/modelscope_logo.png" width="20px" /> internlm2_5-7b-chat-1m](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-7b-chat-1m) | [](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-7b-chat-1m) | [](https://openxlab.org.cn/models/detail/OpenLMLab/internlm2_5-7b-chat-1m-original) | 2024-07-01 |
|
||||
|
||||
- `HF` refers to the format used by HuggingFace in [transformers](https://github.com/huggingface/transformers), whereas `Origin` denotes the format adopted by the InternLM team in [InternEvo](https://github.com/InternLM/InternEvo).
|
||||
|
|
@ -28,14 +28,30 @@ The model has the following characteristics:
|
|||
|
||||
We have evaluated InternLM2.5 on several important benchmarks using the open-source evaluation tool [OpenCompass](https://github.com/open-compass/opencompass). Some of the evaluation results are shown in the table below. You are welcome to visit the [OpenCompass Leaderboard](https://opencompass.org.cn/rank) for more evaluation results.
|
||||
|
||||
| Benchmark | InternLM2.5-7B | InternLM2-7B | LLaMA3-8B | Yi-1.5-9B |
|
||||
|-----------|----------------|--------------|-----------|-----------|
|
||||
| MMLU | 71.6 | 65.8 | 66.4 | 71.6 |
|
||||
| CMMLU | 79.1 | 66.2 | 51.0 | 74.1 |
|
||||
| BBH | 70.1 | 65.0 | 59.7 | 71.1 |
|
||||
| MATH | 34.0 | 20.2 | 16.4 | 31.9 |
|
||||
| GSM8K | 74.8 | 70.8 | 54.3 | 74.5 |
|
||||
| GPQA | 31.3 | 28.3 | 31.3 | 27.8 |
|
||||
### Base Model
|
||||
|
||||
| Benchmark | InternLM2-7B | LLaMA-3-8B | Yi-1.5-9B | InternLM2.5-7B |
|
||||
| ------------- | ------------ | ---------- | --------- | -------------- |
|
||||
| MMLU(5-shot) | 65.8 | 66.4 | 71.6 | 71.6 |
|
||||
| CMMLU(5-shot) | 66.2 | 51.0 | 74.1 | 79.1 |
|
||||
| BBH(3-shot) | 65.0 | 59.7 | 71.1 | 70.1 |
|
||||
| MATH(4-shot) | 20.2 | 16.4 | 31.9 | 34.0 |
|
||||
| GSM8K(4-shot) | 70.8 | 54.3 | 74.5 | 74.8 |
|
||||
| GPQA(0-shot) | 28.3 | 31.3 | 27.8 | 31.3 |
|
||||
|
||||
### Chat Model
|
||||
|
||||
| Benchmark | InternLM2-Chat-7B | LLaMA-3-8B-Instruct | Yi-1.5-9B-Chat | GLM-4-9B-Chat | Qwen2-7B-Instruct | Gemma2-9B-IT | InternLM2.5-7B-Chat |
|
||||
| ----------------- | ----------------- | ------------------- | -------------- | ------------- | ----------------- | ------------ | ------------------- |
|
||||
| MMLU(5-shot) | 62.3 | 68.4 | 71.0 | 71.4 | 70.8 | 70.9 | 72.8 |
|
||||
| CMMLU(5-shot) | 62.4 | 53.3 | 74.5 | 74.5 | 80.9 | 60.3 | 78.0 |
|
||||
| BBH(3-shot CoT) | 59.0 | 54.4 | 69.6 | 69.6 | 65.0 | 68.2\* | 71.6 |
|
||||
| MATH(0-shot CoT) | 27.6 | 27.9 | 51.1 | 51.1 | 48.6 | 46.9 | 60.1 |
|
||||
| GSM8K(0-shot CoT) | 72.5 | 72.9 | 80.1 | 85.3 | 82.9 | 88.9 | 86.0 |
|
||||
| GPQA(0-shot) | 29.8 | 26.1 | 37.9 | 36.9 | 38.4 | 33.8 | 38.4 |
|
||||
|
||||
|
||||
- We use `ppl` for the MCQ evaluation on base model.
|
||||
- The evaluation results were obtained from [OpenCompass](https://github.com/open-compass/opencompass) , and evaluation configuration can be found in the configuration files provided by [OpenCompass](https://github.com/open-compass/opencompass).
|
||||
- The evaluation data may have numerical differences due to the version iteration of [OpenCompass](https://github.com/open-compass/opencompass), so please refer to the latest evaluation results of [OpenCompass](https://github.com/open-compass/opencompass).
|
||||
- \* means the result is copied from the original paper.
|
||||
Loading…
Reference in New Issue