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nllb-srt-translate
54-chin-hung/nllb-srt-translate
nllb-srt-translate is a machine learning model from 54-chin-hung. 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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.json32.3 MB · 69%
At a glance
- Library
- peft
- License
- cc-by-nc-4.0
- Access
- Public
- Created
- Dec 14, 2025
- Updated
- Dec 14, 2025
- SHA
- 634ad772
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-srt-translate
This model is a fine-tuned version of facebook/nllb-200-distilled-600M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7495
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.4046 | 0.3419 | 50 | 3.1991 |
| 2.8715 | 0.6838 | 100 | 2.6569 |
| 2.5797 | 1.0205 | 150 | 2.3924 |
| 2.4477 | 1.3624 | 200 | 2.2326 |
| 2.2755 | 1.7043 | 250 | 2.1179 |
| 2.192 | 2.0410 | 300 | 2.0329 |
| 2.1271 | 2.3829 | 350 | 1.9603 |
| 2.0209 | 2.7248 | 400 | 1.8972 |
| 1.937 | 3.0615 | 450 | 1.8475 |
| 1.9208 | 3.4034 | 500 | 1.8107 |
| 1.9622 | 3.7453 | 550 | 1.7854 |
| 1.8933 | 4.0821 | 600 | 1.7669 |
| 1.9055 | 4.4239 | 650 | 1.7553 |
| 1.8653 | 4.7658 | 700 | 1.7495 |
Framework versions
- PEFT 0.18.0
- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 4.4.1
- Tokenizers 0.22.1
- Library
- peft
- License
- cc-by-nc-4.0
- Created
- Dec 14, 2025
- Updated
- Dec 14, 2025