README.md

metadata

license: gemma
base_model: google/gemma-2-2b-it
tags:
  - xcomet_xl_xxl
  - generated_from_trainer
model-index:
  - name: cpo-xcomet-xl_xxl-inc7b-10p-shuff-5e-7-full-gemma-hinge
    results: []

cpo-xcomet-xl_xxl-inc7b-10p-shuff-5e-7-full-gemma-hinge

This model is a fine-tuned version of google/gemma-2-2b-it 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: 5e-07
• train_batch_size: 1
• eval_batch_size: 4
• seed: 42
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 16
• total_train_batch_size: 64
• 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