| | --- |
| | license: apache-2.0 |
| | base_model: utter-project/EuroLLM-1.7B-Instruct |
| | tags: |
| | - xcomet_xl_xxl |
| | - generated_from_trainer |
| | model-index: |
| | - name: EuroLLM-1.7B-Instruct-SimPO |
| | results: [] |
| | pipeline_tag: translation |
| | datasets: |
| | - sardinelab/MT-pref |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # EuroLLM-1.7B-Instruct-SimPO |
| |
|
| | 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 sardinelab/MT-pref 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 |
