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t5-small-finetuned-xsum-wei0 – AI Model by bochaowei | AlphaNeural AI
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t5-small-finetuned-xsum-wei0
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
xsum
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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t5-small-finetuned-xsum-wei0
This model is a fine-tuned version of
t5-small
on the xsum dataset. It achieves the following results on the evaluation set:
Loss: 2.6289
Rouge1: 25.7398
Rouge2: 6.1361
Rougel: 19.8262
Rougelsum: 19.8284
Gen Len: 18.7984
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: 12
eval_batch_size: 12
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
2.858
1.0
1701
2.6289
25.7398
6.1361
19.8262
19.8284
18.7984
Framework versions
Transformers 4.11.3
Pytorch 1.9.0+cu111
Datasets 1.14.0
Tokenizers 0.10.3
