|
--- |
|
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-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: 0.5058 |
|
- Rewards/chosen: -1.0287 |
|
- Rewards/rejected: -2.0159 |
|
- Rewards/accuracies: 0.7773 |
|
- Rewards/margins: 0.9873 |
|
- Logps/rejected: -464.2831 |
|
- Logps/chosen: -365.4620 |
|
- Logits/rejected: 0.4997 |
|
- Logits/chosen: -0.4859 |
|
|
|
## 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: 2 |
|
- total_train_batch_size: 128 |
|
- 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: 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 | |
|
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.5721 | 0.2092 | 100 | 0.5709 | -0.7941 | -1.3740 | 0.75 | 0.5798 | -400.0867 | -342.0089 | -1.1226 | -1.3180 | |
|
| 0.5453 | 0.4184 | 200 | 0.5234 | -1.0595 | -1.8701 | 0.7773 | 0.8105 | -449.6958 | -368.5487 | 0.0691 | -0.6851 | |
|
| 0.4933 | 0.6276 | 300 | 0.5102 | -1.0953 | -2.0092 | 0.7695 | 0.9139 | -463.6079 | -372.1221 | 0.3510 | -0.4567 | |
|
| 0.4979 | 0.8368 | 400 | 0.5065 | -0.9786 | -1.9310 | 0.7734 | 0.9524 | -455.7930 | -360.4568 | 0.2947 | -0.6442 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.40.2 |
|
- Pytorch 2.1.2+cu118 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
|
|
