|
--- |
|
license: mit |
|
library_name: peft |
|
tags: |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
base_model: microsoft/phi-2 |
|
model-index: |
|
- name: phi-2-gpo-renew2-b0.001-v4-i1 |
|
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. --> |
|
|
|
# phi-2-gpo-renew2-b0.001-v4-i1 |
|
|
|
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0536 |
|
- Rewards/chosen: -0.0036 |
|
- Rewards/rejected: -0.0039 |
|
- Rewards/accuracies: 0.4695 |
|
- Rewards/margins: 0.0002 |
|
- Logps/rejected: -371.0876 |
|
- Logps/chosen: -399.9150 |
|
- Logits/rejected: -0.7623 |
|
- Logits/chosen: -0.8574 |
|
|
|
## 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: 5e-06 |
|
- train_batch_size: 4 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- 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_ratio: 0.1 |
|
- num_epochs: 1 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.1203 | 0.32 | 100 | 0.0537 | -0.0024 | -0.0024 | 0.4555 | 0.0001 | -369.6694 | -398.6797 | -0.7167 | -0.8167 | |
|
| 0.1671 | 0.64 | 200 | 0.0537 | -0.0036 | -0.0037 | 0.4670 | 0.0001 | -370.9240 | -399.8586 | -0.7745 | -0.8674 | |
|
| 0.1393 | 0.96 | 300 | 0.0536 | -0.0038 | -0.0040 | 0.4625 | 0.0003 | -371.2791 | -400.0731 | -0.7820 | -0.8772 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.7.1 |
|
- Transformers 4.36.2 |
|
- Pytorch 2.1.2 |
|
- Datasets 2.14.6 |
|
- Tokenizers 0.15.2 |
