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nllb-200-distilled-1.3B-finetuned-py2cpp
hugo-albert/nllb-200-distilled-1.3B-finetuned-py2cpp
nllb-200-distilled-1.3B-finetuned-py2cpp is a machine learning model from hugo-albert. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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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Updated Jan 14, 2025
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At a glance
- License
- cc-by-nc-4.0
- Access
- Public
- Created
- Jan 14, 2025
- Updated
- Jan 14, 2025
- SHA
- 37d38843
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-distilled-1.3B-finetuned-py2cpp
This model is a fine-tuned version of facebook/nllb-200-distilled-1.3B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8596
- Bleu: 64.3588
- Gen Len: 75.1636
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 0.99 | 33 | 3.0707 | 25.7972 | 101.6182 |
| No log | 2.0 | 67 | 2.1456 | 27.0277 | 97.5818 |
| No log | 2.99 | 100 | 1.5575 | 29.1338 | 94.5455 |
| No log | 4.0 | 134 | 1.2533 | 51.6222 | 75.1273 |
| No log | 4.99 | 167 | 1.0750 | 57.0794 | 76.2 |
| No log | 6.0 | 201 | 0.9742 | 60.7142 | 74.1455 |
| No log | 6.99 | 234 | 0.9128 | 63.8188 | 72.6182 |
| No log | 8.0 | 268 | 0.8811 | 63.7263 | 75.1455 |
| No log | 8.99 | 301 | 0.8642 | 64.1829 | 75.0909 |
| No log | 9.85 | 330 | 0.8596 | 64.3588 | 75.1636 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.13.3
- License
- cc-by-nc-4.0
- Created
- Jan 14, 2025
- Updated
- Jan 14, 2025