my_awesome_billsum_model – AI Model by suhcrates | AlphaNeural AI | 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: 2.8720
Rouge1: 0.1249
Rouge2: 0.036
Rougel: 0.1041
Rougelsum: 0.1044
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: 48
eval_batch_size: 48
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	21	3.4317	0.1407	0.0466	0.1169	0.1169	19.0
No log	2.0	42	3.0529	0.1301	0.0405	0.1087	0.1086	19.0
No log	3.0	63	2.9112	0.1261	0.0371	0.1054	0.1057	19.0
No log	4.0	84	2.8720	0.1249	0.036	0.1041	0.1044	19.0

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3