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End of training
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metadata
license: gemma
base_model: google/gemma-2-2b
tags:
  - xcomet_xl_xxl
  - generated_from_trainer
model-index:
  - name: cpo-hinge-xcomet-xl_xxl-inc7b-10p-shuff-1e-7-full-gemma
    results: []

cpo-hinge-xcomet-xl_xxl-inc7b-10p-shuff-1e-7-full-gemma

This model is a fine-tuned version of google/gemma-2-2b 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