|
--- |
|
license: apache-2.0 |
|
library_name: peft |
|
tags: |
|
- alignment-handbook |
|
- generated_from_trainer |
|
- trl |
|
- dpo |
|
base_model: alignment-handbook/zephyr-7b-sft-full |
|
datasets: |
|
- updated |
|
- original |
|
model-index: |
|
- name: nash_dpo_iter_2 |
|
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. --> |
|
|
|
# nash_dpo_iter_2 |
|
|
|
This model is a fine-tuned version of [YYYYYYibo/nash_dpo_iter_1](https://huggingface.co/YYYYYYibo/nash_dpo_iter_1) on the updated and the original datasets. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.6403 |
|
- Rewards/chosen: -0.3108 |
|
- Rewards/rejected: -0.4420 |
|
- Rewards/accuracies: 0.6160 |
|
- Rewards/margins: 0.1313 |
|
- Logps/rejected: -334.0379 |
|
- Logps/chosen: -329.4806 |
|
- Logits/rejected: -2.3393 |
|
- Logits/chosen: -2.4452 |
|
|
|
## 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: 2 |
|
- eval_batch_size: 2 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 4 |
|
- gradient_accumulation_steps: 16 |
|
- total_train_batch_size: 128 |
|
- total_eval_batch_size: 8 |
|
- 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.6563 | 0.64 | 100 | 0.6403 | -0.3108 | -0.4420 | 0.6160 | 0.1313 | -334.0379 | -329.4806 | -2.3393 | -2.4452 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.7.1 |
|
- Transformers 4.36.2 |
|
- Pytorch 2.1.2+cu121 |
|
- Datasets 2.14.6 |
|
- Tokenizers 0.15.2 |
