my_awesome_billsum_model – AI Model by squre | 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: 2.5293
Rouge1: 0.1494
Rouge2: 0.0571
Rougel: 0.124
Rougelsum: 0.1237
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	2.8266	0.1259	0.0355	0.106	0.106	19.0
No log	2.0	124	2.6125	0.1364	0.0479	0.1147	0.1149	19.0
No log	3.0	186	2.5473	0.1456	0.0536	0.1213	0.121	19.0
No log	4.0	248	2.5293	0.1494	0.0571	0.124	0.1237	19.0

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3