|
--- |
|
library_name: transformers |
|
license: apache-2.0 |
|
base_model: alignment-handbook/zephyr-7b-sft-full |
|
tags: |
|
- alignment-handbook |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
datasets: |
|
- HuggingFaceH4/ultrafeedback_binarized |
|
model-index: |
|
- name: zephyr-7b-uf-dpo-2e |
|
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-uf-dpo-2e |
|
|
|
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: 0.5016 |
|
- Rewards/chosen: -1.5911 |
|
- Rewards/rejected: -2.8172 |
|
- Rewards/accuracies: 0.7695 |
|
- Rewards/margins: 1.2260 |
|
- Logps/rejected: -544.3789 |
|
- Logps/chosen: -421.7447 |
|
- Logits/rejected: 2.2404 |
|
- Logits/chosen: 1.4759 |
|
|
|
## 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: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 8 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 256 |
|
- 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 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
|
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.5692 | 0.4184 | 100 | 0.5671 | -0.3691 | -0.9295 | 0.7344 | 0.5604 | -355.6129 | -299.5389 | -1.1363 | -1.3128 | |
|
| 0.5056 | 0.8368 | 200 | 0.5104 | -0.9550 | -1.8507 | 0.7852 | 0.8957 | -447.7286 | -358.1263 | 1.4954 | 0.9604 | |
|
| 0.3744 | 1.2552 | 300 | 0.5120 | -1.3455 | -2.5618 | 0.7617 | 1.2163 | -518.8406 | -397.1791 | 1.8527 | 0.9871 | |
|
| 0.351 | 1.6736 | 400 | 0.5019 | -1.5195 | -2.7388 | 0.7695 | 1.2193 | -536.5389 | -414.5813 | 2.1782 | 1.4005 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.44.1 |
|
- Pytorch 2.1.2+cu121 |
|
- Datasets 2.21.0 |
|
- Tokenizers 0.19.1 |
|
|
