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t5-small-finetuned-xsum – AI Model by Marik717 | AlphaNeural AI
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Marik717
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t5-small-finetuned-xsum
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tensorboard
safetensors
t5
generated_from_trainer
xsum
google-t5/t5-small
finetune
apache-2.0
us
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t5-small-finetuned-xsum
This model is a fine-tuned version of
t5-small
on the xsum dataset.
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: 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
No log
1.0
313
2.8192
19.8318
3.4412
15.4319
15.4528
18.683
Framework versions
Transformers 4.35.2
Pytorch 2.9.0+cu126
Datasets 2.16.1
Tokenizers 0.15.2
