Fine-Tuned Model (Turkish โ†’ English)

This model is a fine-tuned version of ckartal/turkish-to-english-finetuned-model on a custom dataset for translating e-commerce shopping items

Model Details

  • Source language: Turkish (tr)
  • Target language: English (en)
  • Fine-tuned on: Custom dataset for e-commerce translations
  • Base model: ckartal/turkish-to-english-finetuned-model

How to Use

You can use this model with the transformers library:

from transformers import AutoModelForSeq2SeqLM, AutoTokenizer

model_name = "LuigiJoseph/Turkish-to-English-ft"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)

text = "Selam Dรผnya"
inputs = tokenizer.encode(text, return_tensors="pt")
outputs = model.generate(inputs)
translation = tokenizer.decode(outputs[0], skip_special_tokens=True)

print(translation)  # English translations

Evaluation Metrics

The performance of the base model and the fine-tuned model was measured using the BLEU metric:

Model BLEU Score
Base Model ckartal/turkish-to-english-finetuned-model 23.99
Fine-Tuned Model (this one) 62.45
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