t5_small__billsum_model – AI Model by asieh | AlphaNeural AI

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t5_small__billsum_model

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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t5_small__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: 2.4784
Rouge1: 0.1405
Rouge2: 0.0526
Rougel: 0.1183
Rougelsum: 0.1185
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	2.7739	0.1225	0.0355	0.1026	0.1028	19.0
No log	2.0	124	2.5588	0.135	0.0494	0.1147	0.1148	19.0
No log	3.0	186	2.4953	0.1387	0.0516	0.1173	0.1175	19.0
No log	4.0	248	2.4784	0.1405	0.0526	0.1183	0.1185	19.0

Framework versions

Transformers 4.30.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3