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mbart_cycle1_ko-ja – AI Model by yesj1234 | AlphaNeural AI
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mbart_cycle1_ko-ja
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transformers
pytorch
safetensors
mbart
text2text-generation
generated_from_trainer
ko
ja
endpoints_compatible
us
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tst-translation-output
This model is a fine-tuned version of
mbart-large-cc25
on an custom dataset. It achieves the following results on the evaluation set:
Loss: 4.3552
Bleu: 19.2576
Gen Len: 17.7448
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: 500
num_epochs: 50
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
2.7876
10.31
1000
4.2606
15.7275
15.5938
0.1404
20.62
2000
4.2496
16.6706
17.4375
0.0398
30.93
3000
4.3486
19.2786
17.8385
0.0107
41.24
4000
4.3411
21.5085
17.2917
Framework versions
Transformers 4.32.1
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3
