clnote_summarization – AI Model by tn379 | AlphaNeural AI

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tn379/
clnote_summarization

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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clnote_summarization

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: 2.7101
Rouge1: 0.2155
Rouge2: 0.0777
Rougel: 0.188
Rougelsum: 0.1868
Gen Len: 14.73

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	76	2.7729	0.1885	0.0613	0.1672	0.166	15.51
No log	2.0	152	2.7373	0.2112	0.0736	0.187	0.1854	14.83
No log	3.0	228	2.7169	0.2158	0.0785	0.1898	0.1886	14.64
No log	4.0	304	2.7101	0.2155	0.0777	0.188	0.1868	14.73

Framework versions

Transformers 4.50.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1