t5-small-finetuned-xsum – AI Model by ratanakthan | AlphaNeural AI

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ratanakthan/
t5-small-finetuned-xsum

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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t5-small-finetuned-xsum

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

Loss: 2.6282
Rouge1: 26.2006
Rouge2: 6.4986
Rougel: 20.4525
Rougelsum: 20.4233
Gen Len: 18.791

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
3.0796	1.0	500	2.6971	23.5102	5.0088	18.4369	18.4317	18.719
2.8953	2.0	1000	2.6563	25.1823	5.9526	19.6696	19.6505	18.779
2.8527	3.0	1500	2.6393	25.7775	6.2129	20.1822	20.1652	18.79
2.8301	4.0	2000	2.6307	25.899	6.2538	20.2373	20.222	18.802
2.8158	5.0	2500	2.6282	26.2006	6.4986	20.4525	20.4233	18.791

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1