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t5-small-finetuned-amazon-en-es – AI Model by scmis011 | AlphaNeural AI
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t5-small-finetuned-amazon-en-es
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t5
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google-t5/t5-small
finetune
apache-2.0
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t5-small-finetuned-amazon-en-es
This model is a fine-tuned version of
google-t5/t5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.7222
Rouge1: 0.1727
Rouge2: 0.097
Rougel: 0.1656
Rougelsum: 0.1658
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
3.4341
1.0
177
2.7998
0.1591
0.0791
0.1522
0.1523
3.0944
2.0
354
2.7304
0.1701
0.0908
0.162
0.1617
2.9919
3.0
531
2.7222
0.1727
0.097
0.1656
0.1658
Framework versions
Transformers 4.41.2
Pytorch 2.3.1+cpu
Datasets 2.20.0
Tokenizers 0.19.1
