my_awesome_billsum_model – AI Model by ngthanhlong089 | AlphaNeural AI

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ngthanhlong089/
my_awesome_billsum_model

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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my_awesome_billsum_model

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

Loss: 2.3836
Rouge1: 0.1701
Rouge2: 0.0733
Rougel: 0.1407
Rougelsum: 0.1409
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: 6
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	62	2.7648	0.1278	0.0356	0.1063	0.1065	19.0
No log	2.0	124	2.5305	0.1392	0.0499	0.1154	0.1155	19.0
No log	3.0	186	2.4508	0.148	0.0544	0.1215	0.1219	19.0
No log	4.0	248	2.4118	0.1564	0.0631	0.1292	0.1295	19.0
No log	5.0	310	2.3901	0.1685	0.0727	0.1393	0.1395	19.0
No log	6.0	372	2.3836	0.1701	0.0733	0.1407	0.1409	19.0

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1