peft tensorboard safetensors mistral alignment-handbook generated_from_trainer trl dpo dataset:EllieS/pubmedqa_dpo_selfgen_data base_model:alignment-handbook/zephyr-7b-sft-full license:apache-2.0 region:us
---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- EllieS/pubmedqa_dpo_selfgen_data
base_model: alignment-handbook/zephyr-7b-sft-full
model-index:
- name: zephyr-7b-dpo-selfgen
  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-selfgen

This model is a fine-tuned version of [EllieS/zephyr-7b-sft-qlora](https://huggingface.co/EllieS/zephyr-7b-sft-qlora) on the EllieS/pubmedqa_dpo_selfgen_data dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Rewards/chosen: -6.6466
- Rewards/rejected: -19.5106
- Rewards/accuracies: 1.0
- Rewards/margins: 12.8639
- Logps/rejected: -1996.6047
- Logps/chosen: -731.7379
- Logits/rejected: -2.0588
- Logits/chosen: -2.4883

## 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-06
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step  | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
|:-------------:|:-----:|:-----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
| 0.0241        | 0.42  | 7000  | -2.8328       | -2.8312         | -143.5124    | -856.1008      | 0.0101          | 1.0                | -0.7644        | 7.3411          | -8.1055          |
| 0.0001        | 0.83  | 14000 | -2.3450       | -1.9435         | -714.5292    | -1741.5647     | 0.0002          | 1.0                | -6.4745        | 10.4856         | -16.9602         |
| 0.0003        | 1.25  | 21000 | -2.4293       | -2.0264         | -695.5377    | -1973.5151     | 0.0001          | 1.0                | -6.2846        | 12.9950         | -19.2797         |
| 0.0           | 1.67  | 28000 | -2.5393       | -2.1793         | -619.2334    | -1821.8682     | 0.0001          | 1.0                | -5.5216        | 12.2416         | -17.7632         |
| 0.0001        | 2.09  | 35000 | -2.4633       | -1.9800         | -817.4478    | -2071.8862     | 0.0000          | 1.0                | -7.5037        | 12.7596         | -20.2634         |
| 0.0           | 2.5   | 42000 | -2.4883       | -2.0593         | -730.7642    | -2000.8484     | 0.0000          | 1.0                | -6.6369        | 12.9161         | -19.5530         |
| 0.0001        | 2.92  | 49000 | -2.4895       | -2.0591         | -732.9475    | -1999.9326     | 0.0000          | 1.0                | -6.6587        | 12.8851         | -19.5438         |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2