t5_small_billsum – AI Model by chunwoolee0 | AlphaNeural AI

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chunwoolee0/
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: 2.3947
Rouge1: 0.1508
Rouge2: 0.0616
Rougel: 0.1266
Rougelsum: 0.1266
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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	62	2.5233	0.1285	0.0432	0.1093	0.109	19.0
No log	2.0	124	2.4402	0.1379	0.0519	0.1165	0.1161	19.0
No log	3.0	186	2.4054	0.1477	0.0592	0.1242	0.1242	19.0
No log	4.0	248	2.3947	0.1508	0.0616	0.1266	0.1266	19.0

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3