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m2m_trial1
ahmadmwali/m2m_trial1
m2m_trial1 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
- Model type
- mt5
- Access
- Public
- Created
- May 28, 2025
- Updated
- May 30, 2025
- SHA
- ceddb6b1
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. -->
m2m_trial1
This model is a fine-tuned version of facebook/m2m100_418M on the None dataset. It achieves the following results on the evaluation set:
- Bleu: 0.8239
- F1: 0.9229
- Wer: 0.0824
- Cer: 0.0262
- Meteor: 0.9148
- Loss: 6.1042
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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use 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 | Bleu | F1 | Wer | Cer | Meteor | Validation Loss |
|---|---|---|---|---|---|---|---|---|
| 6.1256 | 1.0 | 12500 | 0.7992 | 0.9121 | 0.0950 | 0.0308 | 0.9022 | 6.1147 |
| 6.1187 | 2.0 | 25000 | 0.8172 | 0.9198 | 0.0868 | 0.0281 | 0.9112 | 6.1067 |
| 6.0999 | 3.0 | 37500 | 0.8239 | 0.9229 | 0.0824 | 0.0262 | 0.9148 | 6.1042 |
Framework versions
- PEFT 0.15.2
- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1
- Library
- peft
- Type
- mt5
- License
- mit
- Created
- May 28, 2025
- Updated
- May 30, 2025