|
--- |
|
license: apache-2.0 |
|
base_model: alignment-handbook/zephyr-7b-sft-full |
|
tags: |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
model-index: |
|
- name: zephyr-7b-dpo-full-ultrabin-low-margin |
|
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-ultrabin-low-margin |
|
|
|
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co./alignment-handbook/zephyr-7b-sft-full) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.6687 |
|
- Rewards/chosen: -0.0876 |
|
- Rewards/rejected: -0.1545 |
|
- Rewards/accuracies: 0.5742 |
|
- Rewards/margins: 0.0669 |
|
- Logps/rejected: -278.1130 |
|
- Logps/chosen: -271.3896 |
|
- Logits/rejected: -2.4595 |
|
- Logits/chosen: -2.4953 |
|
|
|
## 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: 55 |
|
- 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 | |
|
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.6816 | 0.3484 | 50 | 0.6725 | -0.0071 | -0.0549 | 0.5898 | 0.0478 | -268.1548 | -263.3413 | -2.5366 | -2.5709 | |
|
| 0.6723 | 0.6969 | 100 | 0.6687 | -0.0876 | -0.1545 | 0.5742 | 0.0669 | -278.1130 | -271.3896 | -2.4595 | -2.4953 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.44.0.dev0 |
|
- Pytorch 2.1.2 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|
