small-multi-news-model – AI Model by tjjdoherty | AlphaNeural AI

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tjjdoherty/
small-multi-news-model

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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small-multi-news-model

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

Loss: 2.6783
Rouge1: 0.1502
Rouge2: 0.0493
Rougel: 0.1146
Rougelsum: 0.1146
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: 4
eval_batch_size: 4
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
2.995	1.0	2811	2.7304	0.1468	0.0464	0.1121	0.1121	19.0
2.929	2.0	5622	2.6980	0.148	0.0475	0.1132	0.1132	19.0
2.9059	3.0	8433	2.6824	0.1498	0.0483	0.1142	0.1142	19.0
2.9034	4.0	11244	2.6783	0.1502	0.0493	0.1146	0.1146	19.0

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.0.2
Tokenizers 0.19.1