ko-jeolla-nmt-v2

leadawon/ko-jeolla-nmt-v2

ko-jeolla-nmt-v2 is a machine learning model from leadawon. 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.

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

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At a glance

Library: transformers
Model type: encoder-decoder
Access: Public
Created: Jan 25, 2023
Updated: Jan 25, 2023
SHA: 136fab84

Model card

From the Hugging Face model README

ko-jeolla-nmt-v2

This model is a fine-tuned version of leadawon/ko-jeolla-nmt-v1 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2911

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: 5e-05
train_batch_size: 24
eval_batch_size: 24
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 96
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.2926	0.17	500	0.3283
0.3111	0.33	1000	0.3344
0.3009	0.5	1500	0.3138
0.2868	0.66	2000	0.3030
0.2653	0.83	2500	0.2969
0.2493	0.99	3000	0.2911

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu116
Tokenizers 0.13.2

Library: transformers
Type: encoder-decoder
Created: Jan 25, 2023
Updated: Jan 25, 2023