my_awesome_billsum_model – AI Model by martin-north | 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: 2.5279
Rouge1: 0.141
Rouge2: 0.0507
Rougel: 0.1166
Rougelsum: 0.1163
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	2.8319	0.1219	0.0331	0.1024	0.1022	19.0
No log	2.0	124	2.6097	0.1351	0.0461	0.1125	0.1123	19.0
No log	3.0	186	2.5446	0.1397	0.0482	0.1147	0.1146	19.0
No log	4.0	248	2.5279	0.141	0.0507	0.1166	0.1163	19.0

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3