nllb-darija / README.md
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metadata
library_name: transformers
tags:
  - generated_from_trainer
model-index:
  - name: nllb-darija
    results: []

nllb-darija

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.6017

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: 1
  • eval_batch_size: 1
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 64
  • total_eval_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
2.8028 1.7778 500 2.6017

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.0.1
  • Datasets 2.21.0
  • Tokenizers 0.19.1