---
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-KTO
  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-KTO

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: 0.2213
- Rewards/chosen: 0.2579
- Rewards/rejected: -6.0725
- Rewards/accuracies: 1.0
- Rewards/margins: 6.3304
- Logps/rejected: -652.1185
- Logps/chosen: -0.1197
- Logits/rejected: -2.6590
- Logits/chosen: -2.5711

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.2255        | 0.2497 | 1000 | 0.2230          | 0.2551         | -5.4032          | 1.0                | 5.6583          | -585.1871      | -0.3988      | -2.6372         | -2.5514       |
| 0.2252        | 0.4994 | 2000 | 0.2215          | 0.2576         | -5.9860          | 1.0                | 6.2436          | -643.4705      | -0.1526      | -2.6560         | -2.5690       |
| 0.2264        | 0.7492 | 3000 | 0.2213          | 0.2579         | -6.0565          | 1.0                | 6.3144          | -650.5204      | -0.1267      | -2.6590         | -2.5715       |
| 0.2262        | 0.9989 | 4000 | 0.2213          | 0.2579         | -6.0725          | 1.0                | 6.3304          | -652.1185      | -0.1197      | -2.6590         | -2.5711       |


### Framework versions

- PEFT 0.7.1
- Transformers 4.40.2
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1