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---
license: apache-2.0
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: En-Tn_update
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. -->
# En-Tn_update
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-tn](https://huggingface.co/Helsinki-NLP/opus-mt-en-tn) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.13002
- Bleu: 39.1470
## 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: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
|Epoch| Training Loss | Validation Loss| Bleu |
|:---:|:---------------:|:----------------:|:-------:|
| 1 | 1.929300 | 1.884056 | 29.762382|
| 2 | 1.637300 | 1.605588 | 32.846868|
| 3 | 1.500000 | 1.457442 | 34.307484|
| 4 | 1.402400 | 1.356578 | 35.423774|
| 5 | 1.324000 | 1.276492 | 36.553368|
| 6 | 1.251300 | 1.221768 | 37.464270|
| 7 | 1.224700 | 1.181320 | 38.157490|
| 8 | 1.193200 | 1.152997 | 38.800566|
| 9 | 1.166700 | 1.136147 | 38.985707|
| 10 | 1.142500 | 1.130020 | 39.209327|
### Framework versions
- Transformers 4.21.0
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
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