Translation Fine-Tuned Model (English β Turkish)
This model is a fine-tuned version of ckartal/english-to-turkish-finetuned-model on a custom dataset for e-commerce shopping items.
Model Details
- Source language: English (
en
) - Target language: Turkish (
tr
) - Fine-tuned on: Custom dataset for e-commerce translations
- Base model: ckartal/english-to-turkish-finetuned-model
How to Use
You can use this model with the transformers
library:
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
model_name = "LuigiJoseph/English-to-Turkish-ft"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
text = "Hello, World!"
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/english-to-turkish-finetuned-model) | 7.61 |
Fine-Tuned Model (this one) | 29.93 |
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Base model
ckartal/english-to-turkish-finetuned-model