---
library_name: transformers
datasets:
- DebasishDhal99/German_Names_Central_And_Eastern_Europe
- DebasishDhal99/german-polish-paired-placenames
language:
- pl
- de
base_model:
- Helsinki-NLP/opus-mt-pl-de
pipeline_tag: translation
---

# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->
  Input = Polish toponym (say Stare Miasto, literally Old city)
  
  Output = Equivalent toponym (say Altstadt, meaning Old city)
  
  Table of sample outputs at the bottom

# Inference Code

```
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
import torch

model_path = "DebasishDhal99/polish-to-german-toponym-model-opus-mt-pl-de"

device = torch.device("cuda" if torch.cuda.is_available() else "cpu")

model = AutoModelForSeq2SeqLM.from_pretrained(model_path).to(device)
tokenizer = AutoTokenizer.from_pretrained(model_path)

polish_name = "Stare miasteczko" #Change this to any polish place name

inputs = tokenizer(polish_name, return_tensors="pt", padding=True, truncation=True)
inputs = {k: v.to(device) for k, v in inputs.items()}

with torch.no_grad():
    outputs = model.generate(**inputs, max_length=50)

german_name = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(german_name)

```

## Model Details

- Total epochs = 10
- Loss data
  - Epoch 1/10, Loss: 0.1758
  - Epoch 2/10, Loss: 0.0997
  - Epoch 3/10, Loss: 0.0810
  - Epoch 4/10, Loss: 0.0673
  - Epoch 5/10, Loss: 0.0556
  - Epoch 6/10, Loss: 0.0455
  - Epoch 7/10, Loss: 0.0364
  - Epoch 8/10, Loss: 0.0298
  - Epoch 9/10, Loss: 0.0246
  - Epoch 10/10, Loss: 0.0197

- Time = Approx. 30 minutes
- Device = 1 × P100 (Available on Kaggle)


- Further training is needed for better performance, I'll make one more such model with more epochs.

## Output Samples

| Polish Input        | German Output    | Notes                                                   |
|---------------------|------------------|---------------------------------------------------------|
| Warszawa            | Warschau         | Accurate, Capital of Poland                             |
| Kraków              | Krakau           | Accurate
| Poznań              | Posen            | Accurate                                 |
| Stare Miasteczko    | Ebersberg        | Inaccurate, "Stare Miasteczko" means "Old Town"         |
| Stary rynek         | Altmarker        | Accurate, means "Old Market"                            |
| Szczecin            | Stettin          | Accurate, Historic name for Szczecin                    |
| Olsztyn             | Ellerstein       | Inaccurate, correct name is "Allenstein"                |
| Rybowo              | Riebowen         | Inaccurate, Fischdorf would be more accurate            |
| Głogowo             | Gögenhagen       | Inaccurate, historical translation is Glogau            |
| Wrocław             | Breslau          | Accurate, Historic German name for Wrocław              |