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---
library_name: transformers
license: apache-2.0
base_model: MubarakB/Helsinki_lg_inf_en
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: Helsinki_sg_inf_en
results: []
---
<!-- 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. -->
# Helsinki_sg_inf_en
This model is a fine-tuned version of [MubarakB/Helsinki_lg_inf_en](https://huggingface.co/MubarakB/Helsinki_lg_inf_en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2858
- Bleu: 5.572
- Gen Len: 9.2338
## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| No log | 1.0 | 173 | 0.6201 | 0.0669 | 6.4272 |
| No log | 2.0 | 346 | 0.5838 | 0.0805 | 5.9299 |
| 0.6387 | 3.0 | 519 | 0.5608 | 0.0808 | 6.1499 |
| 0.6387 | 4.0 | 692 | 0.5425 | 0.1017 | 8.1706 |
| 0.6387 | 5.0 | 865 | 0.5253 | 0.1307 | 8.0857 |
| 0.5575 | 6.0 | 1038 | 0.5073 | 0.1321 | 9.5706 |
| 0.5575 | 7.0 | 1211 | 0.4894 | 0.1799 | 12.0178 |
| 0.5575 | 8.0 | 1384 | 0.4735 | 0.4182 | 14.6461 |
| 0.5174 | 9.0 | 1557 | 0.4570 | 0.6454 | 8.5702 |
| 0.5174 | 10.0 | 1730 | 0.4399 | 0.7703 | 10.7481 |
| 0.5174 | 11.0 | 1903 | 0.4245 | 1.0412 | 10.367 |
| 0.4806 | 12.0 | 2076 | 0.4091 | 0.9907 | 11.4105 |
| 0.4806 | 13.0 | 2249 | 0.3942 | 1.3776 | 10.6073 |
| 0.4806 | 14.0 | 2422 | 0.3828 | 1.682 | 9.6396 |
| 0.4459 | 15.0 | 2595 | 0.3686 | 1.9324 | 10.269 |
| 0.4459 | 16.0 | 2768 | 0.3588 | 2.1982 | 10.6911 |
| 0.4459 | 17.0 | 2941 | 0.3477 | 2.7115 | 10.718 |
| 0.4168 | 18.0 | 3114 | 0.3381 | 3.0707 | 9.9858 |
| 0.4168 | 19.0 | 3287 | 0.3296 | 3.327 | 9.5866 |
| 0.4168 | 20.0 | 3460 | 0.3212 | 3.6662 | 9.3844 |
| 0.3955 | 21.0 | 3633 | 0.3153 | 4.0484 | 9.2152 |
| 0.3955 | 22.0 | 3806 | 0.3087 | 4.5079 | 9.3263 |
| 0.3955 | 23.0 | 3979 | 0.3026 | 4.7791 | 9.8225 |
| 0.3756 | 24.0 | 4152 | 0.2987 | 5.0946 | 9.6704 |
| 0.3756 | 25.0 | 4325 | 0.2950 | 5.1408 | 9.2835 |
| 0.3756 | 26.0 | 4498 | 0.2917 | 5.3052 | 9.277 |
| 0.3633 | 27.0 | 4671 | 0.2891 | 5.4256 | 9.7289 |
| 0.3633 | 28.0 | 4844 | 0.2873 | 5.5373 | 9.5742 |
| 0.3563 | 29.0 | 5017 | 0.2861 | 5.5454 | 10.1187 |
| 0.3563 | 30.0 | 5190 | 0.2858 | 5.572 | 9.2338 |
### Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
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