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t5-small-finetuned-cnndm3-wikihow2 – AI Model by Chikashi | AlphaNeural AI
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Chikashi
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t5-small-finetuned-cnndm3-wikihow2
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
cnn_dailymail
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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t5-small-finetuned-cnndm3-wikihow2
This model is a fine-tuned version of
Chikashi/t5-small-finetuned-cnndm2-wikihow2
on the cnn_dailymail dataset. It achieves the following results on the evaluation set:
Loss: 1.6265
Rouge1: 24.6704
Rouge2: 11.9038
Rougel: 20.3622
Rougelsum: 23.2612
Gen Len: 18.9997
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: 0.0003
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
1.8071
1.0
71779
1.6265
24.6704
11.9038
20.3622
23.2612
18.9997
Framework versions
Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.1.0
Tokenizers 0.12.1
