my_awesome_billsum_model – AI Model by chrisvnz | AlphaNeural AI

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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: 2.5270
Rouge1: 0.1414
Rouge2: 0.0483
Rougel: 0.1155
Rougelsum: 0.1155
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	2.8111	0.1284	0.0368	0.1063	0.1065	19.0
No log	2.0	124	2.6042	0.1343	0.0435	0.11	0.1101	19.0
No log	3.0	186	2.5443	0.1387	0.0474	0.1132	0.1132	19.0
No log	4.0	248	2.5270	0.1414	0.0483	0.1155	0.1155	19.0

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3