my_awesome_billsum_model – AI Model by ernstliang | 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: 2.4938
Rouge1: 0.1818
Rouge2: 0.0856
Rougel: 0.1532
Rougelsum: 0.1532
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: 8
eval_batch_size: 8
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	124	2.6861	0.131	0.0448	0.1097	0.1098	19.0
No log	2.0	248	2.5567	0.1498	0.0578	0.124	0.1239	19.0
No log	3.0	372	2.5080	0.1728	0.0771	0.1466	0.1465	19.0
No log	4.0	496	2.4938	0.1818	0.0856	0.1532	0.1532	19.0

Framework versions

Transformers 4.29.2
Pytorch 2.0.1
Datasets 2.12.0
Tokenizers 0.13.2