my_awesome_billsum_model – AI Model by ivanlai | AlphaNeural AI

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my_awesome_billsum_model

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text2text-generation

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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: 2.5551
Rouge1: 0.1406
Rouge2: 0.0479
Rougel: 0.1176
Rougelsum: 0.1178
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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	62	2.8504	0.1259	0.0323	0.1041	0.1042	19.0
No log	2.0	124	2.6353	0.1331	0.0424	0.1115	0.1117	19.0
No log	3.0	186	2.5731	0.1389	0.0486	0.1171	0.117	19.0
No log	4.0	248	2.5551	0.1406	0.0479	0.1176	0.1178	19.0

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2