olonok_billsum_model – AI Model by olonok | AlphaNeural AI

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olonok/
olonok_billsum_model

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text2text-generation

generated_from_trainer

google-t5/t5-base

text-generation-inference

endpoints_compatible

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olonok_billsum_model

This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.8641
Rouge1: 0.2024
Rouge2: 0.1156
Rougel: 0.177
Rougelsum: 0.177
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	2.0236	0.1683	0.0807	0.1445	0.1449	19.0
No log	2.0	124	1.9080	0.2041	0.1158	0.1778	0.1779	19.0
No log	3.0	186	1.8728	0.2024	0.1165	0.1778	0.1776	19.0
No log	4.0	248	1.8641	0.2024	0.1156	0.177	0.177	19.0

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2