t5-small-billsum – AI Model by iliyaML | AlphaNeural AI

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iliyaML/
t5-small-billsum

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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t5-small-billsum

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

Loss: 2.5246
Rouge1: 0.1528
Rouge2: 0.0586
Rougel: 0.1291
Rougelsum: 0.1292
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	62	2.8551	0.1284	0.0348	0.1081	0.1085	19.0
No log	2.0	124	2.6404	0.1373	0.0453	0.1147	0.1147	19.0
No log	3.0	186	2.5665	0.1423	0.0494	0.1195	0.1192	19.0
No log	4.0	248	2.5342	0.149	0.055	0.1259	0.1257	19.0
No log	5.0	310	2.5246	0.1528	0.0586	0.1291	0.1292	19.0

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3