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text_simpl – AI Model by MeetK | AlphaNeural AI
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text_simpl
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transformers
tensorboard
safetensors
bart
text2text-generation
generated_from_trainer
google-t5/t5-small
finetune
apache-2.0
endpoints_compatible
us
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text_simpl
This model is a fine-tuned version of
t5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.1585
Rouge1: 0.6973
Rouge2: 0.582
Rougel: 0.6706
Rougelsum: 0.6705
Gen Len: 18.4735
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: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
1.1824
1.0
625
1.1530
0.697
0.5821
0.6703
0.6703
18.4645
1.0757
2.0
1250
1.1585
0.6973
0.582
0.6706
0.6705
18.4735
Framework versions
Transformers 4.36.0
Pytorch 2.1.1+cpu
Datasets 2.15.0
Tokenizers 0.15.0
