t5-small-finetuned-xsum – AI Model by thainq107 | AlphaNeural AI

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thainq107/
t5-small-finetuned-xsum

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google-t5/t5-small

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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: 3.2350

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: 7
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
4.229	0.1001	71	3.5533
3.8218	0.2003	142	3.3962
3.6384	0.3004	213	3.3290
3.6616	0.4006	284	3.2940
3.5887	0.5007	355	3.2713
3.6246	0.6008	426	3.2550
3.5184	0.7010	497	3.2448
3.5059	0.8011	568	3.2391
3.5116	0.9013	639	3.2350

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1