nllb-lora-zh2Atayal / README.md
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metadata
library_name: peft
license: cc-by-nc-4.0
base_model: facebook/nllb-200-distilled-600M
tags:
  - generated_from_trainer
model-index:
  - name: nllb-lora-zh2Atayal
    results: []

nllb-lora-zh2Atayal

This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 7.1847

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: 0.001
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 20
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
7.0315 1.0 240 7.3253
6.9621 2.0 480 7.2832
6.9505 3.0 720 7.2591
6.9091 4.0 960 7.2445
6.8988 5.0 1200 7.2312
6.9053 6.0 1440 7.2217
6.8806 7.0 1680 7.2163
6.8691 8.0 1920 7.2096
6.8917 9.0 2160 7.2044
6.8568 10.0 2400 7.1998
6.8459 11.0 2640 7.1964
6.8482 12.0 2880 7.1950
6.867 13.0 3120 7.1915
6.8377 14.0 3360 7.1902
6.8557 15.0 3600 7.1890
6.8409 16.0 3840 7.1872
6.8447 17.0 4080 7.1870
6.8176 18.0 4320 7.1849
6.8346 19.0 4560 7.1852
7.1757 19.9186 4780 7.1847

Framework versions

  • PEFT 0.15.0
  • Transformers 4.51.2
  • Pytorch 2.2.2+cu118
  • Datasets 3.5.0
  • Tokenizers 0.21.1