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nllb-200-1.3B-ICFOSS_Malayalam_Tamil_Translator
ArunIcfoss/nllb-200-1.3B-ICFOSS_Malayalam_Tamil_Translator
nllb-200-1.3B-ICFOSS_Malayalam_Tamil_Translator is a machine learning model from ArunIcfoss. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as cc-by-nc-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- cc-by-nc-4.0
- Access
- Public
- Created
- Aug 27, 2024
- Updated
- Aug 27, 2024
- SHA
- a5d73e70
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
nllb-200-1.3B-ICFOSS_Malayalam_Tamil_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: 0.8336
- Bleu: 30.1755
- Rouge: {'rouge1': 0.27813852813852813, 'rouge2': 0.14151205936920222, 'rougeL': 0.268193413729128, 'rougeLsum': 0.2691068851783137}
- Chrf: {'score': 66.57581227024936, '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 |
|---|---|---|---|---|---|---|
| 0.9998 | 1.0 | 3806 | 0.8684 | 28.6085 | {'rouge1': 0.2776283240568955, 'rouge2': 0.14373067408781692, 'rougeL': 0.26886982065553494, 'rougeLsum': 0.2699984539270253} | {'score': 65.8388692774937, 'char_order': 6, 'word_order': 0, 'beta': 2} |
| 0.8913 | 2.0 | 7612 | 0.8432 | 29.6027 | {'rouge1': 0.27813852813852813, 'rouge2': 0.14151205936920222, 'rougeL': 0.268193413729128, 'rougeLsum': 0.2691068851783137} | {'score': 66.3019387532507, 'char_order': 6, 'word_order': 0, 'beta': 2} |
| 0.8506 | 3.0 | 11418 | 0.8330 | 29.8285 | {'rouge1': 0.27813852813852813, 'rouge2': 0.14151205936920222, 'rougeL': 0.268193413729128, 'rougeLsum': 0.2691068851783137} | {'score': 66.55262372617446, 'char_order': 6, 'word_order': 0, 'beta': 2} |
| 0.8356 | 4.0 | 15224 | 0.8336 | 30.1355 | {'rouge1': 0.27813852813852813, 'rouge2': 0.14336734693877548, 'rougeL': 0.2690772521129664, 'rougeLsum': 0.2704442383013811} | {'score': 66.59248639173376, 'char_order': 6, 'word_order': 0, 'beta': 2} |
| 0.8321 | 5.0 | 19030 | 0.8336 | 30.1755 | {'rouge1': 0.27813852813852813, 'rouge2': 0.14151205936920222, 'rougeL': 0.268193413729128, 'rougeLsum': 0.2691068851783137} | {'score': 66.57581227024936, '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
- Library
- peft
- License
- cc-by-nc-4.0
- Created
- Aug 27, 2024
- Updated
- Aug 27, 2024