my_summary_model – AI Model by dbdhkddlehlfskawk | AlphaNeural AI

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my_summary_model

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text2text-generation

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my_summary_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: 2.4994
Rouge1: 0.1621
Rouge2: 0.0637
Rougel: 0.1306
Rougelsum: 0.1305
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: 8
eval_batch_size: 8
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: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.9147	1.0	124	2.6475	0.1398	0.0512	0.1138	0.1138	20.0
2.6521	2.0	248	2.5263	0.1547	0.0583	0.1242	0.1239	20.0
2.6913	3.0	372	2.4994	0.1621	0.0637	0.1306	0.1305	20.0

Framework versions

Transformers 4.55.0
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.4