---
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-magpi-reward-scale-01
  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-magpi-reward-scale-01

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: 0.0001
- Rewards/chosen: -2.1581
- Rewards/rejected: -72.1363
- Rewards/accuracies: 1.0
- Rewards/margins: 69.9782
- Logps/rejected: -7854.4189
- Logps/chosen: -582.7947
- Logits/rejected: 2.3418
- Logits/chosen: -1.3156

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0066        | 0.1420 | 50   | 0.0037          | -1.1750        | -45.6975         | 0.9960             | 44.5225         | -5210.5396     | -484.4839    | -2.4201         | -2.9075       |
| 0.0019        | 0.2841 | 100  | 0.0003          | -1.8979        | -62.8577         | 1.0                | 60.9597         | -6926.5537     | -556.7739    | -0.2036         | -2.7790       |
| 0.001         | 0.4261 | 150  | 0.0002          | -1.8922        | -67.8911         | 1.0                | 65.9989         | -7429.9023     | -556.2059    | 1.8870          | -2.6554       |
| 0.0013        | 0.5682 | 200  | 0.0001          | -2.1555        | -73.7897         | 1.0                | 71.6342         | -8019.7568     | -582.5308    | 2.4298          | -2.2775       |
| 0.0015        | 0.7102 | 250  | 0.0001          | -2.1984        | -72.3465         | 1.0                | 70.1481         | -7875.4424     | -586.8257    | 2.3430          | -1.6277       |
| 0.0009        | 0.8523 | 300  | 0.0001          | -2.1293        | -71.2932         | 1.0                | 69.1638         | -7770.1060     | -579.9163    | 2.3229          | -1.4073       |
| 0.0015        | 0.9943 | 350  | 0.0001          | -2.1581        | -72.1363         | 1.0                | 69.9782         | -7854.4189     | -582.7947    | 2.3418          | -1.3156       |


### Framework versions

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