ko-en-retrial

Stxlla/ko-en-retrial

ko-en-retrial is a machine learning model from Stxlla. 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 mit.

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

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Hugging Face

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At a glance

Library: transformers
License: mit
Model type: m2m_100
Access: Public
Created: Dec 10, 2022
Updated: Dec 10, 2022
SHA: 9cebdcee

Model card

From the Hugging Face model README

ko-en-retrial

This model is a fine-tuned version of facebook/m2m100_418M on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4075
Bleu: 27.1215
Gen Len: 10.91

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: 0.0003
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: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.5334	1.0	16549	0.6745	14.5544	10.4919
0.4841	2.0	33098	0.6063	16.5973	10.8128
0.4308	3.0	49647	0.5447	19.1392	11.0557
0.3674	4.0	66196	0.4576	23.6457	10.8632
0.306	5.0	82745	0.4075	27.1215	10.91

Framework versions

Transformers 4.25.1
Pytorch 1.13.0+cu116
Datasets 2.7.1
Tokenizers 0.13.2

Library: transformers
Type: m2m_100
License: mit
Created: Dec 10, 2022
Updated: Dec 10, 2022