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t5-small-finetuned-xsum – AI Model by RenZHU | AlphaNeural AI
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t5-small-finetuned-xsum
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-small-finetuned-xsum
This model is a fine-tuned version of
t5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.5310
Rouge1: 27.9232
Rouge2: 7.5324
Rougel: 22.035
Rougelsum: 22.0304
Gen Len: 18.8116
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
2.7564
1.0
51012
2.5310
27.9232
7.5324
22.035
22.0304
18.8116
Framework versions
Transformers 4.16.0.dev0
Pytorch 1.10.0+cu111
Datasets 1.17.1.dev0
Tokenizers 0.11.0
