summarization_model – AI Model by dany0407 | AlphaNeural AI

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dany0407/
summarization_model

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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summarization_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: 2.5574
Rouge1: 0.1496
Rouge2: 0.0554
Rougel: 0.1221
Rougelsum: 0.1221
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 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	2.8486	0.1367	0.041	0.1133	0.1132	20.0
No log	2.0	124	2.6347	0.148	0.0525	0.1198	0.12	20.0
No log	3.0	186	2.5750	0.1484	0.0551	0.1208	0.121	20.0
No log	4.0	248	2.5574	0.1496	0.0554	0.1221	0.1221	20.0

Framework versions

Transformers 4.53.2
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.21.4