bbc_news_summary_model – AI Model by abhraskygod | AlphaNeural AI

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abhraskygod/
bbc_news_summary_model

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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bbc_news_summary_model

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3238
Rouge1: 0.2026
Rouge2: 0.145
Rougel: 0.1843
Rougelsum: 0.1844
Gen Len: 18.9865

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: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	223	0.4221	0.189	0.1251	0.1664	0.1666	19.0
No log	2.0	446	0.3585	0.1931	0.1321	0.1724	0.1727	19.0
0.7174	3.0	669	0.3370	0.1983	0.1391	0.1784	0.1787	18.9865
0.7174	4.0	892	0.3269	0.1994	0.1408	0.1803	0.1803	18.9865
0.4039	5.0	1115	0.3238	0.2026	0.145	0.1843	0.1844	18.9865

Framework versions

Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3