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t5-small-finetuned-giga – AI Model by MJS2022 | AlphaNeural AI
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MJS2022
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t5-small-finetuned-giga
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transformers
pytorch
tensorboard
t5
text2text-generation
generated_from_trainer
gigaword
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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t5-small-finetuned-giga
This model is a fine-tuned version of
t5-small
on the gigaword dataset. It achieves the following results on the evaluation set:
Loss: 3.2594
Rouge1: 26.6579
Rouge2: 9.5505
Rougel: 24.4987
Rougelsum: 24.5146
Gen Len: 13.5436
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
1.8512
1.0
23775
3.2594
26.6579
9.5505
24.4987
24.5146
13.5436
Framework versions
Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2
