---
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_consistent-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_consistent-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: 0.4943
- Rewards/chosen: -0.9906
- Rewards/rejected: -1.9162
- Rewards/accuracies: 0.7328
- Rewards/margins: 0.9257
- Logps/rejected: -438.1469
- Logps/chosen: -384.1485
- Logits/rejected: 1.5457
- Logits/chosen: 0.3365

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6617        | 0.1147 | 50   | 0.6429          | -0.0319        | -0.1521          | 0.6983             | 0.1202          | -261.7313      | -288.2777    | -2.4839         | -2.5612       |
| 0.5671        | 0.2294 | 100  | 0.5741          | -0.6263        | -1.0517          | 0.6897             | 0.4254          | -351.6960      | -347.7197    | -1.7192         | -1.9024       |
| 0.5328        | 0.3440 | 150  | 0.5237          | -0.5529        | -1.2131          | 0.7155             | 0.6602          | -367.8349      | -340.3821    | 0.6797          | -0.1069       |
| 0.5339        | 0.4587 | 200  | 0.5135          | -0.8694        | -1.6358          | 0.7284             | 0.7664          | -410.0984      | -372.0303    | 1.1593          | 0.1333        |
| 0.5206        | 0.5734 | 250  | 0.5051          | -1.1478        | -2.0209          | 0.7457             | 0.8731          | -448.6093      | -399.8708    | 2.1252          | 1.0597        |
| 0.5161        | 0.6881 | 300  | 0.4995          | -1.0692        | -1.9303          | 0.7414             | 0.8611          | -439.5535      | -392.0123    | 1.6077          | 0.4690        |
| 0.5113        | 0.8028 | 350  | 0.4953          | -0.9905        | -1.8979          | 0.7284             | 0.9073          | -436.3081      | -384.1431    | 1.4599          | 0.2827        |
| 0.5006        | 0.9174 | 400  | 0.4943          | -0.9906        | -1.9162          | 0.7328             | 0.9257          | -438.1469      | -384.1485    | 1.5457          | 0.3365        |


### Framework versions

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