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nllb-200-1.3B-ICFOSS-English_Malayalam_Translation
ArunIcfoss/nllb-200-1.3B-ICFOSS-English_Malayalam_Translation
nllb-200-1.3B-ICFOSS-English_Malayalam_Translation 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
- Apr 10, 2024
- Updated
- Apr 11, 2024
- SHA
- ffb0a89d
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-English_Malayalam_Translation
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: 0.7986
- Bleu: 25.5240
- Rouge: {'rouge1': 0.41343600278075376, 'rouge2': 0.26557575177744935, 'rougeL': 0.4045593832940667, 'rougeLsum': 0.40500259745407907}
- Chrf: {'score': 63.47912581213381, '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 |
|---|---|---|---|---|---|---|
| 0.922 | 1.0 | 3000 | 0.8224 | 24.7167 | {'rouge1': 0.4114291884720509, 'rouge2': 0.2644602223766743, 'rougeL': 0.4023641002206244, 'rougeLsum': 0.4027992964074694} | {'score': 62.82692539709392, 'char_order': 6, 'word_order': 0, 'beta': 2} |
| 0.8622 | 2.0 | 6000 | 0.8031 | 25.2224 | {'rouge1': 0.41228269394912576, 'rouge2': 0.2638244877955537, 'rougeL': 0.4027881671223306, 'rougeLsum': 0.4032496266035372} | {'score': 63.148595621624104, 'char_order': 6, 'word_order': 0, 'beta': 2} |
| 0.847 | 3.0 | 9000 | 0.7991 | 25.5124 | {'rouge1': 0.4131136011924885, 'rouge2': 0.2660486503477698, 'rougeL': 0.40400418780615166, 'rougeLsum': 0.404579016867125} | {'score': 63.46834487204518, 'char_order': 6, 'word_order': 0, 'beta': 2} |
| 0.8407 | 4.0 | 12000 | 0.7986 | 25.5672 | {'rouge1': 0.41280607037014805, 'rouge2': 0.26520458752310194, 'rougeL': 0.40385353186878514, 'rougeLsum': 0.404398367682378} | {'score': 63.500532443749044, 'char_order': 6, 'word_order': 0, 'beta': 2} |
| 0.8414 | 5.0 | 15000 | 0.7986 | 25.5240 | {'rouge1': 0.41343600278075376, 'rouge2': 0.26557575177744935, 'rougeL': 0.4045593832940667, 'rougeLsum': 0.40500259745407907} | {'score': 63.47912581213381, 'char_order': 6, 'word_order': 0, 'beta': 2} |
Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.36.1
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
- Library
- peft
- License
- cc-by-nc-4.0
- Created
- Apr 10, 2024
- Updated
- Apr 11, 2024