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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- opus_infopankki
metrics:
- bleu
model-index:
- name: opus-mt-iir-en-finetuned-fa-to-en
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: opus_infopankki
type: opus_infopankki
args: en-fa
metrics:
- name: Bleu
type: bleu
value: 36.687
---
<!-- 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-iir-en-finetuned-fa-to-en
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-iir-en](https://huggingface.co/Helsinki-NLP/opus-mt-iir-en) on the opus_infopankki dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0968
- Bleu: 36.687
- Gen Len: 16.039
## 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-06
- 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
- num_epochs: 30
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 3.1614 | 1.0 | 1509 | 2.8058 | 12.326 | 16.5467 |
| 2.7235 | 2.0 | 3018 | 2.4178 | 15.6912 | 16.6396 |
| 2.4839 | 3.0 | 4527 | 2.1905 | 18.1971 | 16.4884 |
| 2.3044 | 4.0 | 6036 | 2.0272 | 20.197 | 16.4735 |
| 2.1943 | 5.0 | 7545 | 1.9012 | 22.2265 | 16.4266 |
| 2.0669 | 6.0 | 9054 | 1.7984 | 23.7711 | 16.353 |
| 1.985 | 7.0 | 10563 | 1.7100 | 24.986 | 16.284 |
| 1.9024 | 8.0 | 12072 | 1.6346 | 26.1758 | 16.217 |
| 1.8484 | 9.0 | 13581 | 1.5692 | 27.2782 | 16.1924 |
| 1.7761 | 10.0 | 15090 | 1.5111 | 28.2761 | 16.144 |
| 1.733 | 11.0 | 16599 | 1.4599 | 29.2184 | 16.2438 |
| 1.6772 | 12.0 | 18108 | 1.4150 | 30.0026 | 16.1949 |
| 1.6297 | 13.0 | 19617 | 1.3743 | 30.7839 | 16.1565 |
| 1.5918 | 14.0 | 21126 | 1.3370 | 31.4921 | 16.1323 |
| 1.5548 | 15.0 | 22635 | 1.3038 | 32.0621 | 16.076 |
| 1.5333 | 16.0 | 24144 | 1.2743 | 32.6881 | 16.0078 |
| 1.5145 | 17.0 | 25653 | 1.2478 | 33.3794 | 16.1228 |
| 1.4826 | 18.0 | 27162 | 1.2240 | 33.8335 | 16.0809 |
| 1.4488 | 19.0 | 28671 | 1.2021 | 34.2819 | 16.0479 |
| 1.4386 | 20.0 | 30180 | 1.1829 | 34.7206 | 16.0578 |
| 1.4127 | 21.0 | 31689 | 1.1660 | 35.031 | 16.0717 |
| 1.4089 | 22.0 | 33198 | 1.1510 | 35.4142 | 16.0391 |
| 1.3922 | 23.0 | 34707 | 1.1380 | 35.6777 | 16.0461 |
| 1.377 | 24.0 | 36216 | 1.1273 | 35.95 | 16.0569 |
| 1.3598 | 25.0 | 37725 | 1.1175 | 36.2435 | 16.0426 |
| 1.3515 | 26.0 | 39234 | 1.1097 | 36.4009 | 16.0247 |
| 1.3441 | 27.0 | 40743 | 1.1042 | 36.4815 | 16.0447 |
| 1.3412 | 28.0 | 42252 | 1.1001 | 36.6092 | 16.0489 |
| 1.3527 | 29.0 | 43761 | 1.0976 | 36.6703 | 16.0383 |
| 1.3397 | 30.0 | 45270 | 1.0968 | 36.687 | 16.039 |
### Framework versions
- Transformers 4.19.2
- Pytorch 1.7.1+cu110
- Datasets 2.2.2
- Tokenizers 0.12.1
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