---
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-low-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-low-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: 0.5229
- Rewards/chosen: -0.8152
- Rewards/rejected: -1.5392
- Rewards/accuracies: 0.7069
- Rewards/margins: 0.7241
- Logps/rejected: -399.5724
- Logps/chosen: -365.5233
- Logits/rejected: 1.4072
- Logits/chosen: 0.3892

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6558        | 0.1147 | 50   | 0.6455          | 0.0044         | -0.0965          | 0.6810             | 0.1009          | -255.3015      | -283.5690    | -2.4863         | -2.5882       |
| 0.5907        | 0.2294 | 100  | 0.5894          | -0.2321        | -0.5376          | 0.7069             | 0.3055          | -299.4117      | -307.2200    | -2.4655         | -2.5910       |
| 0.5657        | 0.3440 | 150  | 0.5474          | -0.5168        | -1.0293          | 0.7198             | 0.5125          | -348.5750      | -335.6879    | -0.6546         | -1.0350       |
| 0.5303        | 0.4587 | 200  | 0.5414          | -1.0659        | -1.7181          | 0.75               | 0.6522          | -417.4532      | -390.5937    | 0.7246          | 0.0707        |
| 0.5472        | 0.5734 | 250  | 0.5268          | -0.8095        | -1.4718          | 0.7155             | 0.6623          | -392.8294      | -364.9606    | 1.2657          | 0.4213        |
| 0.5517        | 0.6881 | 300  | 0.5284          | -0.8914        | -1.6145          | 0.7112             | 0.7231          | -407.0940      | -373.1438    | 1.3137          | 0.2994        |
| 0.4943        | 0.8028 | 350  | 0.5237          | -0.8328        | -1.5668          | 0.7112             | 0.7339          | -402.3227      | -367.2895    | 1.4252          | 0.4044        |
| 0.5335        | 0.9174 | 400  | 0.5229          | -0.8152        | -1.5392          | 0.7069             | 0.7241          | -399.5724      | -365.5233    | 1.4072          | 0.3892        |


### Framework versions

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