|
|
--- |
|
|
license: other |
|
|
base_model: microsoft/phi-1_5 |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: dpo |
|
|
results: [] |
|
|
--- |
|
|
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
|
|
# dpo |
|
|
|
|
|
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the None dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.0000 |
|
|
- Rewards/chosen: -8.4849 |
|
|
- Rewards/rejected: -25.9483 |
|
|
- Rewards/accuracies: 1.0 |
|
|
- Rewards/margins: 17.4633 |
|
|
- Logps/rejected: -293.3352 |
|
|
- Logps/chosen: -152.1862 |
|
|
- Logits/rejected: -0.9014 |
|
|
- Logits/chosen: -0.4994 |
|
|
|
|
|
## Model description |
|
|
|
|
|
More information needed |
|
|
|
|
|
## Intended uses & limitations |
|
|
|
|
|
More information needed |
|
|
|
|
|
## Training and evaluation data |
|
|
|
|
|
More information needed |
|
|
|
|
|
## Training procedure |
|
|
|
|
|
### Training hyperparameters |
|
|
|
|
|
The following hyperparameters were used during training: |
|
|
- learning_rate: 0.0005 |
|
|
- train_batch_size: 4 |
|
|
- eval_batch_size: 1 |
|
|
- seed: 42 |
|
|
- gradient_accumulation_steps: 4 |
|
|
- total_train_batch_size: 16 |
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
|
- lr_scheduler_type: cosine |
|
|
- lr_scheduler_warmup_steps: 100 |
|
|
- training_steps: 2500 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
|
| 0.0318 | 0.07 | 100 | 0.0384 | -0.3956 | -7.7708 | 0.9835 | 7.3753 | -111.5607 | -71.2923 | 1.1941 | 1.0925 | |
|
|
| 0.0187 | 0.15 | 200 | 0.0196 | -2.0328 | -10.9862 | 0.9922 | 8.9535 | -143.7145 | -87.6645 | -0.8539 | -0.9067 | |
|
|
| 0.0101 | 0.22 | 300 | 0.0351 | -2.7345 | -12.1219 | 0.9896 | 9.3874 | -155.0717 | -94.6821 | 0.4420 | 0.5220 | |
|
|
| 0.046 | 0.29 | 400 | 0.0199 | -6.6027 | -18.5556 | 0.9922 | 11.9529 | -219.4086 | -133.3638 | -2.3908 | -2.0500 | |
|
|
| 0.0005 | 0.36 | 500 | 0.0101 | -6.4299 | -20.5496 | 0.9965 | 14.1197 | -239.3484 | -131.6356 | -1.0029 | -0.6334 | |
|
|
| 0.0003 | 0.44 | 600 | 0.0092 | -9.0181 | -23.0513 | 0.9965 | 14.0332 | -264.3652 | -157.5181 | -1.6334 | -1.1488 | |
|
|
| 0.0004 | 0.51 | 700 | 0.0043 | -5.7377 | -21.3127 | 0.9991 | 15.5749 | -246.9788 | -124.7142 | -0.8477 | -0.4037 | |
|
|
| 0.0001 | 0.58 | 800 | 0.0040 | -8.9021 | -23.9436 | 0.9991 | 15.0415 | -273.2885 | -156.3581 | 0.2782 | 0.8244 | |
|
|
| 0.0001 | 0.66 | 900 | 0.0031 | -9.3191 | -24.3563 | 0.9991 | 15.0371 | -277.4149 | -160.5282 | -0.7279 | -0.2168 | |
|
|
| 0.002 | 0.73 | 1000 | 0.0066 | -6.8680 | -23.5822 | 0.9974 | 16.7142 | -269.6745 | -136.0172 | -0.6629 | 0.2962 | |
|
|
| 0.0002 | 0.8 | 1100 | 0.0015 | -9.1417 | -27.6276 | 0.9991 | 18.4859 | -310.1280 | -158.7536 | -1.2030 | -0.5215 | |
|
|
| 0.0823 | 0.87 | 1200 | 0.0057 | -4.4568 | -18.4378 | 0.9974 | 13.9810 | -218.2306 | -111.9051 | 0.2236 | 0.7934 | |
|
|
| 0.0 | 0.95 | 1300 | 0.0171 | -8.1530 | -25.5603 | 0.9983 | 17.4073 | -289.4550 | -148.8665 | -1.2413 | -0.9611 | |
|
|
| 0.0007 | 1.02 | 1400 | 0.0019 | -7.9402 | -25.1905 | 0.9983 | 17.2503 | -285.7569 | -146.7384 | -1.2325 | -0.8924 | |
|
|
| 0.0002 | 1.09 | 1500 | 0.0010 | -8.1543 | -25.2960 | 0.9991 | 17.1417 | -286.8122 | -148.8794 | -1.0005 | -0.6261 | |
|
|
| 0.0 | 1.17 | 1600 | 0.0010 | -8.4019 | -25.6275 | 0.9991 | 17.2256 | -290.1275 | -151.3556 | -1.0850 | -0.7170 | |
|
|
| 0.0 | 1.24 | 1700 | 0.0011 | -8.8691 | -26.2284 | 0.9991 | 17.3593 | -296.1366 | -156.0278 | -1.1426 | -0.7830 | |
|
|
| 0.0 | 1.31 | 1800 | 0.0010 | -9.2896 | -26.9277 | 0.9991 | 17.6381 | -303.1297 | -160.2331 | -1.1169 | -0.7512 | |
|
|
| 0.0001 | 1.39 | 1900 | 0.0011 | -9.2869 | -26.9301 | 0.9991 | 17.6432 | -303.1532 | -160.2053 | -1.1213 | -0.7560 | |
|
|
| 0.0 | 1.46 | 2000 | 0.0008 | -8.4453 | -25.9094 | 0.9991 | 17.4641 | -292.9459 | -151.7894 | -0.8854 | -0.4791 | |
|
|
| 0.0 | 1.53 | 2100 | 0.0007 | -8.4600 | -25.9284 | 0.9991 | 17.4684 | -293.1361 | -151.9364 | -0.8893 | -0.4835 | |
|
|
| 0.0 | 1.6 | 2200 | 0.0000 | -8.4501 | -25.9071 | 1.0 | 17.4569 | -292.9228 | -151.8381 | -0.8823 | -0.4759 | |
|
|
| 0.0 | 1.68 | 2300 | 0.0000 | -8.4800 | -25.9444 | 1.0 | 17.4644 | -293.2967 | -152.1372 | -0.8982 | -0.4964 | |
|
|
| 0.0 | 1.75 | 2400 | 0.0000 | -8.4864 | -25.9459 | 1.0 | 17.4596 | -293.3117 | -152.2005 | -0.9013 | -0.4999 | |
|
|
| 0.0 | 1.82 | 2500 | 0.0000 | -8.4849 | -25.9483 | 1.0 | 17.4633 | -293.3352 | -152.1862 | -0.9014 | -0.4994 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.33.2 |
|
|
- Pytorch 2.0.1+cu118 |
|
|
- Datasets 2.14.5 |
|
|
- Tokenizers 0.13.3 |
|
|
|
