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t5-cnn-sum – AI Model by thatfaib | AlphaNeural AI
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t5-cnn-sum
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tensorboard
safetensors
t5
generated_from_trainer
google-t5/t5-small
finetune
apache-2.0
us
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t5-cnn-sum
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: 1.7032
Rouge1: 0.2468
Rouge2: 0.1177
Rougel: 0.2041
Rougelsum: 0.2041
Gen Len: 18.9985
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
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
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
1.8511
1.0
17945
1.7032
0.2468
0.1177
0.2041
0.2041
18.9985
Framework versions
Transformers 4.36.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.15.0
