peft safetensors mistral choo-choo trl dpo generated_from_trainer base_model:alignment-handbook/zephyr-7b-sft-full license:apache-2.0 4-bit bitsandbytes region:us
---
license: apache-2.0
library_name: peft
tags:
- choo-choo
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
base_model: alignment-handbook/zephyr-7b-sft-full
model-index:
- name: zephyr-7b-lora-dpo-dibt-v0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# zephyr-7b-lora-dpo-dibt-v0

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 argilla/10k_prompts_dpo dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1666
- Rewards/chosen: -0.7428
- Rewards/rejected: -5.5139
- Rewards/accuracies: 0.9375
- Rewards/margins: 4.7711
- Logps/rejected: -387.5656
- Logps/chosen: -341.2073
- Logits/rejected: -2.1864
- Logits/chosen: -2.2314

## 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-05
- train_batch_size: 4
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6028        | 0.19  | 20   | 0.5286          | 0.8789         | 0.4471           | 0.8125             | 0.4318          | -327.9556      | -324.9910    | -2.6143         | -2.6401       |
| 0.3363        | 0.39  | 40   | 0.3232          | 0.5215         | -1.1097          | 0.8594             | 1.6312          | -343.5236      | -328.5651    | -2.5076         | -2.5352       |
| 0.2458        | 0.58  | 60   | 0.2501          | 0.5738         | -1.8685          | 0.9115             | 2.4423          | -351.1114      | -328.0413    | -2.5602         | -2.5924       |
| 0.2116        | 0.78  | 80   | 0.1991          | -0.6755        | -3.8274          | 0.9167             | 3.1519          | -370.7006      | -340.5351    | -2.3129         | -2.3427       |
| 0.1386        | 0.97  | 100  | 0.2002          | 0.2920         | -3.0192          | 0.9375             | 3.3111          | -362.6181      | -330.8600    | -2.3132         | -2.3535       |
| 0.0458        | 1.17  | 120  | 0.1748          | -1.3802        | -5.8772          | 0.9479             | 4.4969          | -391.1983      | -347.5820    | -2.2290         | -2.2717       |
| 0.0426        | 1.36  | 140  | 0.1755          | -0.0635        | -4.3090          | 0.9375             | 4.2455          | -375.5160      | -334.4143    | -2.1959         | -2.2403       |
| 0.029         | 1.55  | 160  | 0.1692          | -0.7990        | -5.4881          | 0.9375             | 4.6891          | -387.3076      | -341.7697    | -2.1893         | -2.2329       |
| 0.0676        | 1.75  | 180  | 0.1676          | -0.6944        | -5.4513          | 0.9375             | 4.7569          | -386.9397      | -340.7238    | -2.1864         | -2.2314       |
| 0.0517        | 1.94  | 200  | 0.1666          | -0.7428        | -5.5139          | 0.9375             | 4.7711          | -387.5656      | -341.2073    | -2.1864         | -2.2314       |


### Framework versions

- PEFT 0.8.2
- Transformers 4.38.0
- Pytorch 2.1.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2