Xensword-T5-Base-Summarizer – AI Model by isnekki | AlphaNeural AI

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Xensword-T5-Base-Summarizer

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text2text-generation

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text-generation-inference

endpoints_compatible

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Xensword-T5-Base-Summarizer

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

Loss: 2.0029
Rouge1: 0.1594
Rouge2: 0.0664
Rougel: 0.1405
Rougelsum: 0.14
Gen Len: 19.0

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
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	157	2.1287	0.157	0.0654	0.1388	0.1382	19.0
No log	2.0	314	2.0431	0.1613	0.0672	0.1419	0.1415	19.0
No log	3.0	471	2.0179	0.1593	0.0665	0.1406	0.1401	19.0
2.2552	4.0	628	2.0029	0.1594	0.0664	0.1405	0.14	19.0

Framework versions

Transformers 4.30.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3