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---
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: translation_model
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. -->
# translation_model
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8172
- Bleu: 1.4433
- Gen Len: 18.005
## 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: 2
- mixed_precision_training: Native AMP
### Training results
| Epoch | Step | Training Loss | Validation Loss | Bleu | Gen Len |
|:-----:|:-----:|:-------------:|:---------------:|:------:|:-------:|
| 1.0 | 4674 | 2.5538 | 2.2471 | 0.7389 | 18.1428 |
| 2.0 | 9348 | 2.4606 | 2.1615 | 0.8787 | 18.1105 |
| 3.0 | 14022 | 2.3877 | 2.0981 | 0.9630 | 18.0917 |
| 4.0 | 18696 | 2.3433 | 2.0538 | 1.0353 | 18.0855 |
| 5.0 | 23370 | 2.2914 | 2.0186 | 1.0902 | 18.0692 |
| 6.0 | 28044 | 2.2565 | 1.9939 | 1.1566 | 18.0789 |
| 7.0 | 32718 | 2.2539 | 1.9756 | 1.1935 | 18.0686 |
| 8.0 | 37392 | 2.2262 | 1.9628 | 1.1998 | 18.0759 |
| 9.0 | 42066 | 2.2097 | 1.9556 | 1.2209 | 18.0706 |
| 10.0 | 46740 | 2.2021 | 1.9529 | 1.2244 | 18.0659 |
| 11.0 | 51414 | 2.1283 | 1.8698 | 1.3343 | 18.024 |
| 12.0 | 56088 | 2.1211 | 1.8516 | 1.3656 | 18.0194 |
| 13.0 | 60762 | 2.1063 | 1.8461 | 1.3828 | 18.0112 |
| 14.0 | 65436 | 2.0545 | 1.8267 | 1.4183 | 18.0116 |
| 15.0 | 70110 | 2.0645 | 1.8172 | 1.4433 | 18.005 |
### Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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