Update README.md (#4)
Browse files- Update README.md (499ff2a812cdf1e81f373a5d86ee9f0ac8044aaf)
Co-authored-by: YukangGan <ganyk@users.noreply.huggingface.co>
README.md
CHANGED
|
@@ -16,6 +16,25 @@ This model is designed for a wide range of NLP tasks, with a focus on programmin
|
|
| 16 |
## Performance
|
| 17 |
LLaMA-Pro demonstrates advanced performance across various benchmarks. It outperforms existing models in the LLaMA series in handling diverse tasks, showcasing its capability as an intelligent language agent.
|
| 18 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 19 |
## Limitations
|
| 20 |
While LLaMA-Pro addresses some limitations of previous models in the series, it may still encounter challenges specific to highly specialized domains or tasks.
|
| 21 |
|
|
|
|
| 16 |
## Performance
|
| 17 |
LLaMA-Pro demonstrates advanced performance across various benchmarks. It outperforms existing models in the LLaMA series in handling diverse tasks, showcasing its capability as an intelligent language agent.
|
| 18 |
|
| 19 |
+
### Overall Performance on Languages, math and code tasks
|
| 20 |
+
|
| 21 |
+
| Model | ARC | Hellaswag | MMLU | TruthfulQA | Winogrande | GSM8K | GSM8K-PoT | HumanEval | MBPP | Avg |
|
| 22 |
+
| :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: |
|
| 23 |
+
| LLAMA PRO (8B) | 54.10 | 77.94 | 47.88 | 39.04 | 73.95 | 17.89 | 25.42 | 28.66 | 33.20 | 44.2 |
|
| 24 |
+
| LLaMA2-7B | 53.07 | 78.59 | 46.87 | 38.76 | 74.03 | 14.48 | 17.68 | 13.05 | 20.09 | 39.62 |
|
| 25 |
+
| CodeLLaMA-7B | 39.93 | 60.80 | 31.12 | 37.82 | 64.01 | 5.16 | 25.20 | 33.50 | 41.40 | 37.66 |
|
| 26 |
+
| LLAMA PRO-INSTRUCT | 52.30 | 76.88 | 52.57 | 48.80 | 72.53 | 43.59 | 55.61 | 44.51 | 37.88 | 53.8 |
|
| 27 |
+
|
| 28 |
+
### Performance on GPT4 Evaluation
|
| 29 |
+
|
| 30 |
+
| Model | MT Bench |
|
| 31 |
+
| :-: | :-: |
|
| 32 |
+
| Alpaca-13B | 4.53 |
|
| 33 |
+
| CodeLLaMA-7B-Instruct | 5.71 |
|
| 34 |
+
| Vicuna-7B | 6.17 |
|
| 35 |
+
| LLaMA2-7B-Chat | 6.27 |
|
| 36 |
+
| LLAMA PRO-INSTRUCT | 6.32 |
|
| 37 |
+
|
| 38 |
## Limitations
|
| 39 |
While LLaMA-Pro addresses some limitations of previous models in the series, it may still encounter challenges specific to highly specialized domains or tasks.
|
| 40 |
|