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t5-summarization-t3 – AI Model by TChien0512 | AlphaNeural AI
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t5-summarization-t3
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peft
safetensors
trl
sft
generated_from_trainer
google-t5/t5-small
adapter
apache-2.0
us
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t5-summarization-t3
This model is a fine-tuned version of
google-t5/t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 4.8149
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: 2
eval_batch_size: 2
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
6.1615
1.0
250
4.8149
Framework versions
PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.19.1
