---
license: apache-2.0
base_model: utter-project/EuroLLM-1.7B-Instruct
tags:
- xcomet_xl_xxl
- generated_from_trainer
model-index:
- name: dpo-xcomet_xl_xxl-10p-shuff-1e-7-full-no-sft-eurollm
  results: []
---

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# dpo-xcomet_xl_xxl-10p-shuff-1e-7-full-no-sft-eurollm

This model is a fine-tuned version of [utter-project/EuroLLM-1.7B-Instruct](https://huggingface.co/utter-project/EuroLLM-1.7B-Instruct) on the Unbabel/TowerAligned-v0.1 dataset.

## 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: 1e-07
- train_batch_size: 1
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results



### Framework versions

- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1