|
--- |
|
base_model: InternLM2-SFT |
|
tags: |
|
- math |
|
model-index: |
|
- name: InternLM2-SFT-SCDPO |
|
results: [] |
|
license: apache-2.0 |
|
language: |
|
- en |
|
metrics: |
|
- accuracy |
|
pipeline_tag: text-generation |
|
--- |
|
|
|
# InternLM2-SFT-SCDPO |
|
|
|
This model is a fine-tuned version of the InternLM2-20B model using SFT and SCDPO. |
|
It achieves the following results on the evaluation set: |
|
|
|
- Loss: 0.2572 |
|
- Rewards/chosen: 0.7366 |
|
- Rewards/rejected: -2.9817 |
|
- Rewards/accuracies: 0.8929 |
|
- Rewards/margins: 3.7183 |
|
- Logps/rejected: -155.1884 |
|
- Logps/chosen: -92.5904 |
|
- Logits/rejected: -2.3032 |
|
- Logits/chosen: -2.4880 |
|
|
|
## Model description |
|
|
|
This is a model fine-tuned for mathematical problem-solving. |
|
|
|
## Intended uses & limitations |
|
|
|
The model is intended for solving math problems. |
|
|
|
## Training and evaluation data |
|
|
|
| | gsm8k | math | ape | cmath | mgsm_zh | |
|
| ------------------------------ | -------- | -------- | -------- | -------- | -------- | |
|
| InternLM2-SFT | 86.4 | 55.8 | 77.1 | 88.4 | 74.8 | |
|
| InternLM2-SFT-DPO | 87 | 57.6 | 78.7 | 89.9 | 76 | |
|
| InternLM2-SFT-DPO (data-equal) | 88.2 | 57.5 | 78.8 | 89.3 | 76 | |
|
| InternLM2-SFT-SCDPO | **88.5** | **58.1** | **79.3** | **90.3** | **80.4** | |
|
|
|
|
|
|
|
## Training procedure |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 1.5e-07 |
|
- train_batch_size: 2 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 16 |
|
- total_train_batch_size: 32 |
|
- total_eval_batch_size: 64 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- num_epochs: 2 |
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.2 |
|
- Pytorch 2.1.2 |
|
- Datasets 2.14.6 |
|
- Tokenizers 0.15.2 |
