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t5-small-finetuned-xsum – AI Model by vpmoreira | 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: 2.6658
Rouge1: 24.2894
Rouge2: 5.5018
Rougel: 18.7615
Rougelsum: 18.7685
Gen Len: 18.6893
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: 32
eval_batch_size: 32
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
3.0564
0.78
500
2.6658
24.2894
5.5018
18.7615
18.7685
18.6893
Framework versions
Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
