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nllb-200-distilled-1.3B-ICFOSS-Tamil_Malayalam_Translation2

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

  • Loss: 1.1621
  • Bleu: 17.6076
  • Rouge: {'rouge1': 0.23715147352380064, 'rouge2': 0.12071739418595513, 'rougeL': 0.2345381430444835, 'rougeLsum': 0.23453506374330857}
  • Chrf: {'score': 53.10170184949962, '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
1.3104 1.0 3200 1.1873 16.9649 {'rouge1': 0.2373291149186338, 'rouge2': 0.12055406484331477, 'rougeL': 0.2349602512054163, 'rougeLsum': 0.2347613356578951} {'score': 52.63432691341799, 'char_order': 6, 'word_order': 0, 'beta': 2}
1.2392 2.0 6400 1.1684 17.4803 {'rouge1': 0.23688544501541525, 'rouge2': 0.12054604364691682, 'rougeL': 0.23435163398707426, 'rougeLsum': 0.23426003897018} {'score': 53.023399634389435, 'char_order': 6, 'word_order': 0, 'beta': 2}
1.2206 3.0 9600 1.1636 17.5799 {'rouge1': 0.2378202693811884, 'rouge2': 0.12098156404604737, 'rougeL': 0.2353625364071846, 'rougeLsum': 0.2352423617840227} {'score': 53.09262212159299, 'char_order': 6, 'word_order': 0, 'beta': 2}
1.2165 4.0 12800 1.1620 17.5801 {'rouge1': 0.23733760623984934, 'rouge2': 0.12071579562905231, 'rougeL': 0.23472198687403475, 'rougeLsum': 0.23465210830971256} {'score': 53.058606903092645, 'char_order': 6, 'word_order': 0, 'beta': 2}
1.214 5.0 16000 1.1621 17.6076 {'rouge1': 0.23715147352380064, 'rouge2': 0.12071739418595513, 'rougeL': 0.2345381430444835, 'rougeLsum': 0.23453506374330857} {'score': 53.10170184949962, 'char_order': 6, 'word_order': 0, 'beta': 2}

Framework versions

  • PEFT 0.10.0
  • Transformers 4.39.3
  • Pytorch 2.1.0+cu121
  • Datasets 2.19.0
  • Tokenizers 0.15.0
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