---
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-gpt-high-curriculum
  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-gpt-high-curriculum

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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5179
- Rewards/chosen: -0.8125
- Rewards/rejected: -1.5680
- Rewards/accuracies: 0.7241
- Rewards/margins: 0.7555
- Logps/rejected: -402.4431
- Logps/chosen: -365.2540
- Logits/rejected: 1.3741
- Logits/chosen: 0.3005

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6573        | 0.1147 | 50   | 0.6482          | -0.0593        | -0.1537          | 0.6422             | 0.0944          | -261.0173      | -289.9336    | -2.4140         | -2.5168       |
| 0.5517        | 0.2294 | 100  | 0.5831          | -0.4867        | -1.0049          | 0.6940             | 0.5182          | -346.1422      | -332.6784    | -0.1634         | -0.6358       |
| 0.5596        | 0.3440 | 150  | 0.5497          | -0.4238        | -1.0012          | 0.7241             | 0.5774          | -345.7715      | -326.3861    | -0.2421         | -1.0045       |
| 0.557         | 0.4587 | 200  | 0.5398          | -0.7669        | -1.4634          | 0.7328             | 0.6965          | -391.9895      | -360.6939    | 0.6306          | -0.2433       |
| 0.5483        | 0.5734 | 250  | 0.5334          | -0.9092        | -1.6482          | 0.7371             | 0.7390          | -410.4661      | -374.9231    | 1.1694          | 0.1535        |
| 0.5338        | 0.6881 | 300  | 0.5227          | -0.7072        | -1.4506          | 0.7241             | 0.7434          | -390.7057      | -354.7213    | 1.1201          | 0.0530        |
| 0.5111        | 0.8028 | 350  | 0.5173          | -0.7777        | -1.5283          | 0.7284             | 0.7506          | -398.4796      | -361.7773    | 1.3205          | 0.2474        |
| 0.5185        | 0.9174 | 400  | 0.5179          | -0.8125        | -1.5680          | 0.7241             | 0.7555          | -402.4431      | -365.2540    | 1.3741          | 0.3005        |


### Framework versions

- Transformers 4.44.0.dev0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1