|
--- |
|
license: apache-2.0 |
|
base_model: alignment-handbook/zephyr-7b-sft-full |
|
tags: |
|
- alignment-handbook |
|
- generated_from_trainer |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
datasets: |
|
- HuggingFaceH4/ultrafeedback_binarized |
|
model-index: |
|
- name: zephyr-7b-dpo-full |
|
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. --> |
|
|
|
# zephyr-7b-dpo-full |
|
|
|
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the HuggingFaceH4/ultrafeedback_binarized dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.5046 |
|
- Rewards/chosen: -1.1826 |
|
- Rewards/rejected: -2.0581 |
|
- Rewards/accuracies: 0.7246 |
|
- Rewards/margins: 0.8756 |
|
- Logps/rejected: -470.5493 |
|
- Logps/chosen: -395.9858 |
|
- Logits/rejected: 0.0457 |
|
- Logits/chosen: -0.4473 |
|
|
|
## 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-07 |
|
- train_batch_size: 4 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 3 |
|
- gradient_accumulation_steps: 10 |
|
- total_train_batch_size: 120 |
|
- total_eval_batch_size: 12 |
|
- 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.5764 | 0.2 | 100 | 0.5829 | -0.3592 | -0.7613 | 0.6931 | 0.4020 | -340.8605 | -313.6503 | -2.4360 | -2.4791 | |
|
| 0.5169 | 0.39 | 200 | 0.5312 | -0.8847 | -1.6204 | 0.7066 | 0.7356 | -426.7720 | -366.2012 | -0.8443 | -1.2010 | |
|
| 0.5133 | 0.59 | 300 | 0.5159 | -1.1886 | -1.9604 | 0.7246 | 0.7718 | -460.7765 | -396.5906 | 0.0460 | -0.3853 | |
|
| 0.4968 | 0.79 | 400 | 0.5058 | -1.2445 | -2.1063 | 0.7141 | 0.8618 | -475.3639 | -402.1766 | 0.2014 | -0.2552 | |
|
| 0.4833 | 0.98 | 500 | 0.5045 | -1.1821 | -2.0581 | 0.7260 | 0.8760 | -470.5448 | -395.9374 | 0.0436 | -0.4496 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.36.2 |
|
- Pytorch 2.1.2 |
|
- Datasets 2.14.6 |
|
- Tokenizers 0.15.2 |
|
|
