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en2zh_opus_100 – AI Model by HAJIWEE | AlphaNeural AI
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HAJIWEE
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en2zh_opus_100
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transformers
pytorch
tensorboard
mt5
text2text-generation
generated_from_trainer
opus100
apache-2.0
model-index
endpoints_compatible
us
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en2zh_opus_100
This model is a fine-tuned version of
HAJIWEE/en2zh_opus_100
on the opus100 dataset. It achieves the following results on the evaluation set:
Loss: 2.0799
Bleu: 12.9203
Gen Len: 15.2965
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: 6
eval_batch_size: 6
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
2.6252
1.0
166667
2.1221
12.7341
15.3295
2.5579
2.0
333334
2.0799
12.9203
15.2965
Framework versions
Transformers 4.27.4
Pytorch 2.0.0+cu117
Datasets 2.11.0
Tokenizers 0.13.3
