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t5-small-finetuned-aspect_01 – AI Model by Ftmhd | AlphaNeural AI
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Ftmhd
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t5-small-finetuned-aspect_01
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transformers
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
google-t5/t5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-small-finetuned-aspect_01
This model is a fine-tuned version of
t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.7900
Rouge1: 37.0575
Rouge2: 17.6394
Rougel: 33.3948
Rougelsum: 33.2789
Gen Len: 18.7179
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: 16
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
No log
1.0
44
1.8935
35.7882
17.8672
31.8846
32.0356
18.8974
No log
2.0
88
1.7900
37.0575
17.6394
33.3948
33.2789
18.7179
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Tokenizers 0.20.3
