first_summarization_billsum_t5_model – AI Model by MohamedAliAhmed | AlphaNeural AI

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MohamedAliAhmed/
first_summarization_billsum_t5_model

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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first_summarization_billsum_t5_model

This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.3842
Rouge1: 0.2033
Rouge2: 0.1037
Rougel: 0.1724
Rougelsum: 0.1726
Gen Len: 20.0

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_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	62	2.4413	0.1883	0.0894	0.1586	0.1588	20.0
No log	2.0	124	2.4068	0.1981	0.099	0.1681	0.1683	20.0
No log	3.0	186	2.3894	0.2012	0.1023	0.1708	0.1709	20.0
No log	4.0	248	2.3842	0.2033	0.1037	0.1724	0.1726	20.0

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2