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m2m100_418M_Hausa
ahmadmwali/m2m100_418M_Hausa
m2m100_418M_Hausa is a machine learning model from ahmadmwali. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- May 14, 2025
- Updated
- May 14, 2025
- SHA
- 0d689ae4
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. -->
m2m100_418M_Hausa
This model is a fine-tuned version of facebook/m2m100_418M on the None dataset. It achieves the following results on the evaluation set:
- Loss: 6.1321
- Bleu: 0.7162
- Meteor: 0.8519
- F1: 0.8446
- Wer: 0.1865
- Cer: 0.0354
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Meteor | F1 | Wer | Cer |
|---|---|---|---|---|---|---|---|---|
| 6.303 | 1.0 | 2000 | 6.1567 | 0.6553 | 0.8115 | 0.8115 | 0.2286 | 0.0415 |
| 6.1345 | 2.0 | 4000 | 6.1379 | 0.6986 | 0.8392 | 0.8347 | 0.1984 | 0.0370 |
| 6.1956 | 3.0 | 6000 | 6.1321 | 0.7162 | 0.8519 | 0.8446 | 0.1865 | 0.0354 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Library
- peft
- License
- mit
- Created
- May 14, 2025
- Updated
- May 14, 2025