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t5-small-finetuned-xsum – AI Model by aks234 | AlphaNeural AI
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t5-small-finetuned-xsum
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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
This model is a fine-tuned version of
t5-small
on the xsum dataset. It achieves the following results on the evaluation set:
Loss: 2.4785
Rouge1: 28.3127
Rouge2: 7.7376
Rougel: 22.2445
Rougelsum: 22.2505
Gen Len: 18.8304
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
2.7174
1.0
12753
2.4785
28.3127
7.7376
22.2445
22.2505
18.8304
Framework versions
Transformers 4.21.1
Pytorch 1.12.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1
