my_awesome_billsum_model – AI Model by PhongLe1311 | AlphaNeural AI

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PhongLe1311/
my_awesome_billsum_model

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text2text-generation

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text-generation-inference

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my_awesome_billsum_model

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

Loss: 2.5181
Rouge1: 0.1408
Rouge2: 0.0514
Rougel: 0.1173
Rougelsum: 0.1173
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	2.8150	0.1264	0.0373	0.1061	0.1061	19.0
No log	2.0	124	2.5989	0.1379	0.0501	0.1164	0.1165	19.0
No log	3.0	186	2.5349	0.1396	0.0525	0.1179	0.1181	19.0
No log	4.0	248	2.5181	0.1408	0.0514	0.1173	0.1173	19.0

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3