opus-mt-tc-big-tr-en-finetuned

beratcmn/opus-mt-tc-big-tr-en-finetuned

opus-mt-tc-big-tr-en-finetuned is a machine learning model from beratcmn. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as cc-by-4.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Library: transformers
License: cc-by-4.0
Model type: marian
Access: Public
Created: Dec 14, 2023
Updated: Dec 14, 2023
SHA: 12e90787

Base models

Helsinki-NLP/opus-mt-tc-big-tr-en

Datasets

opus_infopankki

Model card

From the Hugging Face model README

opus-mt-tc-big-tr-en-finetuned-tr-to-en

This model is a fine-tuned version of Helsinki-NLP/opus-mt-tc-big-tr-en on the opus_infopankki dataset. It achieves the following results on the evaluation set:

Loss: 0.7193
Bleu: 50.6479
Gen Len: 15.1365

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-05
train_batch_size: 16
eval_batch_size: 16
seed: 36
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.5846	1.0	2477	0.7193	50.6479	15.1365

Framework versions

Transformers 4.36.1
Pytorch 2.0.1+cu117
Datasets 2.15.0
Tokenizers 0.15.0

Library: transformers
Type: marian
License: cc-by-4.0
Created: Dec 14, 2023
Updated: Dec 14, 2023