Downloads · 30 days
16
20% of all-time downloads
bbc-to-ind-nmt-v5
kepinsam/bbc-to-ind-nmt-v5
bbc-to-ind-nmt-v5 is a machine learning model from kepinsam. 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. The card lists the license as cc-by-nc-4.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
79
Public
Parameters
615M
32 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors2.5 GB · 99%
At a glance
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- m2m_100
- Access
- Public
- Created
- Jul 11, 2024
- Updated
- Jul 11, 2024
- SHA
- c18d1f2f
Base models
Datasets
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. -->
bbc-to-ind-nmt-v5
This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the nusatranslation_mt dataset. It achieves the following results on the evaluation set:
- Loss: 1.2310
- Sacrebleu: 38.4814
- Gen Len: 37.8455
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Sacrebleu | Gen Len |
|---|---|---|---|---|---|
| 3.4154 | 1.0 | 1650 | 1.2829 | 33.2857 | 37.9245 |
| 1.1633 | 2.0 | 3300 | 1.1418 | 36.6342 | 37.407 |
| 0.9377 | 3.0 | 4950 | 1.1148 | 38.0023 | 37.17 |
| 0.795 | 4.0 | 6600 | 1.1197 | 38.2402 | 37.3695 |
| 0.6827 | 5.0 | 8250 | 1.1465 | 38.3719 | 37.315 |
| 0.5937 | 6.0 | 9900 | 1.1642 | 38.3424 | 37.547 |
| 0.5216 | 7.0 | 11550 | 1.1917 | 38.56 | 37.8515 |
| 0.466 | 8.0 | 13200 | 1.2079 | 38.6061 | 37.6135 |
| 0.425 | 9.0 | 14850 | 1.2228 | 38.4918 | 37.928 |
| 0.3995 | 10.0 | 16500 | 1.2310 | 38.4814 | 37.8455 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.14.6
- Tokenizers 0.19.1
- Library
- transformers
- Type
- m2m_100
- License
- cc-by-nc-4.0
- Created
- Jul 11, 2024
- Updated
- Jul 11, 2024