---
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: Weni/ZeroShot-3.3.14-Mistral-7b-Multilanguage-3.2.0-merged
model-index:
- name: ZeroShot-Test-3.4.4-Mistral-7b-DPO-1.0.0
  results: []
---

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# ZeroShot-Test-3.4.4-Mistral-7b-DPO-1.0.0

This model is a fine-tuned version of [Weni/ZeroShot-3.3.14-Mistral-7b-Multilanguage-3.2.0-merged](https://huggingface.co/Weni/ZeroShot-3.3.14-Mistral-7b-Multilanguage-3.2.0-merged) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6931
- Rewards/chosen: 0.0
- Rewards/rejected: 0.0
- Rewards/accuracies: 0.0
- Rewards/margins: 0.0
- Logps/rejected: -13.6433
- Logps/chosen: -16.0135
- Logits/rejected: -1.3299
- Logits/chosen: -1.3541

## 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- PEFT 0.8.2
- Transformers 4.38.2
- Pytorch 2.1.0+cu118
- Datasets 2.17.1
- Tokenizers 0.15.2