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ke-t5 – AI Model by kalejj | AlphaNeural AI
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kalejj
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ke-t5
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pytorch
t5
generated_from_trainer
KETI-AIR/ke-t5-base
finetune
apache-2.0
us
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ke-t5
This model is a fine-tuned version of
KETI-AIR/ke-t5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 11.9691
Rouge1: 0.0002
Rouge2: 0.0
Rougel: 0.0002
Sacrebleu: 0.0076
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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
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
Sacrebleu
23.1815
2.7
500
11.9691
0.0002
0.0
0.0002
0.0076
Framework versions
Transformers 4.32.1
Pytorch 2.0.1+cu118
Datasets 3.0.2
Tokenizers 0.13.2
