t5 – AI Model by palimisis | AlphaNeural AI

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palimisis/
t5

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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t5

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

Loss: 2.0846
Rouge1: 0.1248
Rouge2: 0.0719
Rougel: 0.1096
Rougelsum: 0.1097
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: 8
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	248	2.3488	0.0936	0.0361	0.0801	0.0799	19.0
No log	2.0	496	2.2214	0.1098	0.0519	0.0953	0.0953	19.0
2.8859	3.0	744	2.1603	0.1243	0.0682	0.1082	0.1081	19.0
2.8859	4.0	992	2.1276	0.1255	0.0717	0.1098	0.1099	19.0
2.3699	5.0	1240	2.1063	0.1252	0.0715	0.1101	0.1102	19.0
2.3699	6.0	1488	2.0908	0.1254	0.0723	0.1099	0.1101	19.0
2.2841	7.0	1736	2.0862	0.1247	0.0718	0.1093	0.1094	19.0
2.2841	8.0	1984	2.0846	0.1248	0.0719	0.1096	0.1097	19.0

Framework versions

Transformers 4.36.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0