mbart_5p2_ko-zh – AI Model by yesj1234 | AlphaNeural AI

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yesj1234/
mbart_5p2_ko-zh

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text2text-generation

generated_from_trainer

facebook/mbart-large-cc25

endpoints_compatible

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This model is a fine-tuned version of facebook/mbart-large-cc25 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.3569
Bleu: 11.508
Gen Len: 14.3854

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: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 16
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1500
num_epochs: 40

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.5428	0.86	2000	1.4469	8.6101	16.9959
1.1195	1.71	4000	1.3471	10.3699	14.5055
0.8028	2.57	6000	1.3569	11.508	14.3955
0.5856	3.43	8000	1.4776	10.7663	15.0208
0.378	4.29	10000	1.6134	10.5237	14.3284
0.3093	5.14	12000	1.7701	10.7522	14.0819

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.14.0