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t5-small-finetuned-xsum – AI Model by hashedpotato | AlphaNeural AI
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hashedpotato
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t5-small-finetuned-xsum
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peft
tensorboard
safetensors
generated_from_trainer
google-t5/t5-small
adapter
apache-2.0
us
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t5-small-finetuned-xsum
This model is a fine-tuned version of
t5-small
on an unknown 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
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Use OptimizerNames.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: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
No log
0.5714
1
2.5428
27.0752
6.9706
21.4175
21.5045
19.78
Framework versions
PEFT 0.14.0
Transformers 4.48.2
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0
