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nllb-200-distilled-600M-finetuned-py2cpp
hugo-albert/nllb-200-distilled-600M-finetuned-py2cpp
nllb-200-distilled-600M-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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Public
Updated Jan 15, 2025
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At a glance
- License
- cc-by-nc-4.0
- Access
- Public
- Created
- Dec 10, 2024
- Updated
- Jan 15, 2025
- SHA
- 6ffc23c4
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-600M-finetuned-py2cpp
This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1142
- Bleu: 58.3679
- Gen Len: 74.4727
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 | 3.5500 | 28.0752 | 98.4545 |
| No log | 2.0 | 67 | 2.6889 | 28.4762 | 97.7273 |
| No log | 2.99 | 100 | 2.1016 | 13.9425 | 131.9636 |
| No log | 4.0 | 134 | 1.6955 | 20.9551 | 114.3091 |
| No log | 4.99 | 167 | 1.4578 | 44.5358 | 83.4 |
| No log | 6.0 | 201 | 1.2986 | 53.9615 | 75.0545 |
| No log | 6.99 | 234 | 1.2113 | 56.6086 | 77.4182 |
| No log | 8.0 | 268 | 1.1550 | 57.2346 | 73.8364 |
| No log | 8.99 | 301 | 1.1222 | 58.1529 | 74.2 |
| No log | 9.85 | 330 | 1.1142 | 58.3679 | 74.4727 |
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
- Dec 10, 2024
- Updated
- Jan 15, 2025