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t5-small-fine_tuned_on_billsum_by_hydra_1751807674_ – AI Model by tihonn | AlphaNeural AI
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tihonn
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t5-small-fine_tuned_on_billsum_by_hydra_1751807674_
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
google-t5/t5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-small-fine_tuned_on_billsum_by_hydra_1751807674_
This model is a fine-tuned version of
t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.7298
Rouge1: 14.1787
Rouge2: 5.1904
Rougel: 11.6892
Rougelsum: 12.5401
Gen Len: 19.9644
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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
2.0618
1.0
1185
2.7298
14.1787
5.1904
11.6892
12.5401
19.9644
Framework versions
Transformers 4.53.1
Pytorch 2.7.1+cu128
Datasets 3.6.0
Tokenizers 0.21.2
