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t5-base-Clakmann-thesis – AI Model by Clakmann | AlphaNeural AI
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Clakmann
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t5-base-Clakmann-thesis
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
google-t5/t5-base
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-base-Clakmann-thesis
This model is a fine-tuned version of
t5-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.7647
Rouge1: 19.9179
Rouge2: 6.8159
Rougel: 18.8425
Rougelsum: 18.8407
Gen Len: 14.3685
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
1.8942
1.0
5029
1.7647
19.9179
6.8159
18.8425
18.8407
14.3685
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.3
Tokenizers 0.13.3
