Downloads · 30 days
7
4% of all-time downloads
opus-mt-en-id-ccmatrix-lr-3
yonathanstwn/opus-mt-en-id-ccmatrix-lr-3
opus-mt-en-id-ccmatrix-lr-3 is a machine learning model from yonathanstwn. 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. --
All-time downloads
173
Public
Repo size
22 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin289 MB · 99%
At a glance
- Library
- transformers
- Model type
- marian
- Access
- Public
- Created
- Mar 18, 2023
- Updated
- Mar 20, 2023
- SHA
- 81eaa29a
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. -->
opus-mt-en-id-ccmatrix-lr-3
This model was trained from scratch on the ccmatrix dataset. It achieves the following results on the evaluation set:
- Loss: 7.7571
- Bleu: 0.0003
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: 0.001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 4000
- num_epochs: 25
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 4.0796 | 1.0 | 28125 | 7.8472 | 0.0047 |
| 4.6004 | 2.0 | 56250 | 8.8066 | 0.0022 |
| 4.4685 | 3.0 | 84375 | 6.4351 | 0.002 |
| 4.4315 | 4.0 | 112500 | 6.4291 | 0.0091 |
| 4.338 | 5.0 | 140625 | 6.7652 | 0.2393 |
| 4.2657 | 6.0 | 168750 | 6.7140 | 0.0087 |
| 4.2072 | 7.0 | 196875 | 6.7277 | 0.0196 |
| 5.253 | 8.0 | 225000 | 7.0848 | 0.0028 |
| 4.8823 | 9.0 | 253125 | 7.7789 | 0.0012 |
| 4.7303 | 10.0 | 281250 | 7.3183 | 0.0432 |
| 4.6488 | 11.0 | 309375 | 7.0976 | 0.0961 |
| 4.581 | 12.0 | 337500 | 7.1433 | 0.0748 |
| 4.5141 | 13.0 | 365625 | 6.9517 | 0.0225 |
| 4.4603 | 14.0 | 393750 | 7.2024 | 0.0207 |
| 4.4246 | 15.0 | 421875 | 6.8771 | 0.0646 |
| 4.3863 | 16.0 | 450000 | 6.9140 | 0.012 |
| 4.337 | 17.0 | 478125 | 6.7126 | 0.0175 |
| 4.2944 | 18.0 | 506250 | 6.9462 | 0.0125 |
| 4.2578 | 19.0 | 534375 | 6.9446 | 0.0064 |
| 4.2195 | 20.0 | 562500 | 7.5402 | 0.0004 |
| 4.1806 | 21.0 | 590625 | 7.2321 | 0.0105 |
| 4.1421 | 22.0 | 618750 | 7.5888 | 0.0094 |
| 4.1026 | 23.0 | 646875 | 7.5273 | 0.0097 |
| 4.0632 | 24.0 | 675000 | 7.6161 | 0.0002 |
| 4.0269 | 25.0 | 703125 | 7.7571 | 0.0003 |
Framework versions
- Transformers 4.26.1
- Pytorch 2.0.0
- Datasets 2.10.1
- Tokenizers 0.11.0
- Library
- transformers
- Type
- marian
- Created
- Mar 18, 2023
- Updated
- Mar 20, 2023