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nllb-ja-en-mem-al
crowwwwww6/nllb-ja-en-mem-al
nllb-ja-en-mem-al is a machine learning model from crowwwwww6. 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 transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- m2m_100
- Access
- Public
- Created
- May 2, 2026
- Updated
- May 2, 2026
- SHA
- 223044a1
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-ja-en-memory-v2.3-AL1-Fixed
This model is a fine-tuned version of crowwwwww6/nllb-ja-en-memory-v2.0 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6045
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 31.3214 | 0.4 | 100 | 1.6387 |
| 28.6962 | 0.8 | 200 | 1.6230 |
| 28.3899 | 1.2 | 300 | 1.6133 |
| 26.3609 | 1.6 | 400 | 1.6084 |
| 29.1286 | 2.0 | 500 | 1.6055 |
| 29.1020 | 2.4 | 600 | 1.6055 |
| 28.4726 | 2.8 | 700 | 1.6045 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.3
- Tokenizers 0.22.2
- Library
- transformers
- Type
- m2m_100
- Created
- May 2, 2026
- Updated
- May 2, 2026