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mt5-small-finetuned-xlsum-chinese-tradition – AI Model by elliotthwang | AlphaNeural AI
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elliotthwang
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mt5-small-finetuned-xlsum-chinese-tradition
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transformers
pytorch
tensorboard
mt5
text2text-generation
generated_from_trainer
xlsum
apache-2.0
model-index
endpoints_compatible
us
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mt5-small-finetuned-xlsum-chinese-tradition
This model is a fine-tuned version of
google/mt5-small
on the xlsum dataset. It achieves the following results on the evaluation set:
Loss: nan
Rouge1: 0.2578
Rouge2: 0.0176
Rougel: 0.2519
Rougelsum: 0.2542
Gen Len: 6.094
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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
0.0
1.0
18687
nan
0.2578
0.0176
0.2519
0.2542
6.094
Framework versions
Transformers 4.20.1
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1
