my_awesome_billsum_model – AI Model by paytonray | 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: 2.5824
Rouge1: 0.1394
Rouge2: 0.0502
Rougel: 0.1134
Rougelsum: 0.1133
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
distributed_type: multi-GPU
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	55	2.9056	0.1255	0.0372	0.1049	0.1049	19.0
No log	2.0	110	2.6665	0.1345	0.0456	0.1098	0.11	19.0
No log	3.0	165	2.6010	0.1378	0.0485	0.1122	0.1123	19.0
No log	4.0	220	2.5824	0.1394	0.0502	0.1134	0.1133	19.0

Framework versions

Transformers 4.29.2
Pytorch 1.13.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3