---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
- EllieS/Temp-L2-DPO
model-index:
- name: Temp-L1-SFT-L2-DPO
  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. -->

# Temp-L1-SFT-L2-DPO

This model is a fine-tuned version of [EllieS/TempReason-L1](https://huggingface.co/EllieS/TempReason-L1) on the EllieS/Temp-L2-DPO dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0028
- Rewards/chosen: -0.3437
- Rewards/rejected: -7.0807
- Rewards/accuracies: 1.0
- Rewards/margins: 6.7370
- Logps/rejected: -752.9371
- Logps/chosen: -60.2789
- Logits/rejected: -2.7330
- Logits/chosen: -2.6142

## 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: 2
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0046        | 0.25  | 1000 | 0.0116          | -0.7603        | -5.8063          | 1.0                | 5.0459          | -625.4973      | -101.9450    | -2.6955         | -2.5854       |
| 0.0037        | 0.5   | 2000 | 0.0037          | -0.2218        | -6.4841          | 1.0                | 6.2624          | -693.2846      | -48.0898     | -2.7333         | -2.6137       |
| 0.0039        | 0.75  | 3000 | 0.0028          | -0.3670        | -7.1056          | 1.0                | 6.7386          | -755.4296      | -62.6133     | -2.7342         | -2.6152       |
| 0.0019        | 1.0   | 4000 | 0.0028          | -0.3437        | -7.0807          | 1.0                | 6.7370          | -752.9371      | -60.2789     | -2.7330         | -2.6142       |


### Framework versions

- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2