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eunyounglee/
mBART_tokenizer_custom

Name: mBART_tokenizer_custom
Rating: 2.5 (5 reviews)

generated_from_trainer

mit

endpoints_compatible

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mBART_tokenizer_custom

This model is a fine-tuned version of facebook/mbart-large-50 on the 한국어 방언 발화(경상도) dataset from AI Hub. It achieves the following results on the evaluation set:

Loss: 0.0045
Bleu: 78.9009
Gen Len: 20.5578

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: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
0.048	1.0	12500	0.0259	93.2721	22.2035
0.0251	2.0	25000	0.0106	87.1169	21.7826
0.0105	3.0	37500	0.0045	78.9009	20.5578

Framework versions

Transformers 4.22.2
Pytorch 1.12.1+cu113
Datasets 2.5.1
Tokenizers 0.12.1

eunyounglee/mBART_tokenizer_custom

mBART_tokenizer_custom

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

eunyounglee/
mBART_tokenizer_custom