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mt5_book_review_summary – AI Model by Prience91 | AlphaNeural AI
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Prience91
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mt5_book_review_summary
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transformers
safetensors
mt5
text2text-generation
summarization
generated_from_trainer
google/mt5-small
finetune
apache-2.0
endpoints_compatible
us
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mt5_book_review_summary
This model is a fine-tuned version of
google/mt5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.0872
Rouge1: 0.1076
Rouge2: 0.0395
Rougel: 0.1063
Rougelsum: 0.1062
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: 5.6e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
6.5856
1.0
2202
3.2410
0.0882
0.0321
0.0879
0.0879
3.7769
2.0
4404
3.1136
0.1081
0.0373
0.1067
0.1069
3.5597
3.0
6606
3.0872
0.1076
0.0395
0.1063
0.1062
Framework versions
Transformers 5.14.1
Pytorch 2.13.0+cu130
Datasets 5.0.0
Tokenizers 0.22.2
