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t5-small-finetuned-xsum – AI Model by Miholini | 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: 2.4782
Rouge1: 28.3445
Rouge2: 7.7057
Rougel: 22.2591
Rougelsum: 22.2656
Gen Len: 18.8209
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
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
2.7161
1.0
12753
2.4782
28.3445
7.7057
22.2591
22.2656
18.8209
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
