Edit model card

nllb-200-1.3B-ICFOSS_Tamil_Malayalam_Translator

This model is a fine-tuned version of facebook/nllb-200-1.3B on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7754
  • Bleu: 29.8537
  • Rouge: {'rouge1': 0.20075757575757575, 'rouge2': 0.09794372294372294, 'rougeL': 0.1974025974025974, 'rougeLsum': 0.19978354978354979}
  • Chrf: {'score': 64.95358370898863, 'char_order': 6, 'word_order': 0, 'beta': 2}

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: 0.0002
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss Bleu Rouge Chrf
0.9004 1.0 3806 0.8154 27.1742 {'rouge1': 0.19772727272727275, 'rouge2': 0.09577922077922078, 'rougeL': 0.1945887445887446, 'rougeLsum': 0.19675324675324676} {'score': 63.3462918203542, 'char_order': 6, 'word_order': 0, 'beta': 2}
0.7946 2.0 7612 0.7844 28.0891 {'rouge1': 0.2006395120031484, 'rouge2': 0.09577922077922078, 'rougeL': 0.19744195198740652, 'rougeLsum': 0.200137741046832} {'score': 64.30399837657693, 'char_order': 6, 'word_order': 0, 'beta': 2}
0.7549 3.0 11418 0.7754 29.3679 {'rouge1': 0.20058048012593466, 'rouge2': 0.09794372294372293, 'rougeL': 0.1974025974025974, 'rougeLsum': 0.1996064541519087} {'score': 64.84398894116521, 'char_order': 6, 'word_order': 0, 'beta': 2}
0.7403 4.0 15224 0.7754 29.1387 {'rouge1': 0.20058048012593466, 'rouge2': 0.09794372294372293, 'rougeL': 0.1974025974025974, 'rougeLsum': 0.1996064541519087} {'score': 64.64187026525788, 'char_order': 6, 'word_order': 0, 'beta': 2}
0.7374 5.0 19030 0.7754 29.8537 {'rouge1': 0.20075757575757575, 'rouge2': 0.09794372294372294, 'rougeL': 0.1974025974025974, 'rougeLsum': 0.19978354978354979} {'score': 64.95358370898863, 'char_order': 6, 'word_order': 0, 'beta': 2}

Framework versions

  • PEFT 0.10.0
  • Transformers 4.40.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1
Downloads last month
6
Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for ArunIcfoss/nllb-200-1.3B-ICFOSS_Tamil_Malayalam_Translator

Adapter
(8)
this model