---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- turkic_xwmt
metrics:
- bleu
model-index:
- name: opus-mt-tr-en-finetuned-az-to-en
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: turkic_xwmt
type: turkic_xwmt
args: az-en
metrics:
- name: Bleu
type: bleu
value: 0.0002
---
<!-- 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-tr-en-finetuned-az-to-en
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tr-en](https://huggingface.co/Helsinki-NLP/opus-mt-tr-en) on the turkic_xwmt dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Bleu: 0.0002
- Gen Len: 511.0
## 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: 0.2
- 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: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| No log | 1.0 | 38 | nan | 0.0002 | 511.0 |
| No log | 2.0 | 76 | nan | 0.0002 | 511.0 |
| No log | 3.0 | 114 | nan | 0.0002 | 511.0 |
| No log | 4.0 | 152 | nan | 0.0002 | 511.0 |
| No log | 5.0 | 190 | nan | 0.0002 | 511.0 |
| No log | 6.0 | 228 | nan | 0.0002 | 511.0 |
| No log | 7.0 | 266 | nan | 0.0002 | 511.0 |
| No log | 8.0 | 304 | nan | 0.0002 | 511.0 |
| No log | 9.0 | 342 | nan | 0.0002 | 511.0 |
| No log | 10.0 | 380 | nan | 0.0002 | 511.0 |
### Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.1
- Tokenizers 0.12.1