awesome_asqp_model_combined

arus05/awesome_asqp_model_combined

awesome_asqp_model_combined is a machine learning model from arus05. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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At a glance

License: apache-2.0
Model type: t5
Access: Public
Created: May 26, 2025
Updated: May 26, 2025
SHA: 43c6da92

Base models

google-t5/t5-base

Model card

From the Hugging Face model README

awesome_asqp_model_combined

This model is a fine-tuned version of google-t5/t5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2330
Precision: 0.8343
Recall: 0.5782
F1: 0.683

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: 0.0003
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1
No log	1.0	263	0.2542	0.6011	0.4297	0.5012
0.3656	2.0	526	0.2148	0.6762	0.4673	0.5527
0.3656	3.0	789	0.1841	0.7486	0.5188	0.6129
0.0925	4.0	1052	0.1815	0.8057	0.5584	0.6596
0.0925	5.0	1315	0.1926	0.8012	0.5505	0.6526
0.0459	6.0	1578	0.1855	0.8091	0.5624	0.6636
0.0459	7.0	1841	0.1753	0.8127	0.5584	0.662
0.0314	8.0	2104	0.2178	0.8161	0.5624	0.6659
0.0314	9.0	2367	0.2206	0.8218	0.5663	0.6706
0.0161	10.0	2630	0.2098	0.8305	0.5723	0.6776
0.0161	11.0	2893	0.2096	0.8257	0.5723	0.676
0.0101	12.0	3156	0.2165	0.8386	0.5762	0.6831
0.0101	13.0	3419	0.2168	0.8252	0.5703	0.6745
0.0082	14.0	3682	0.2290	0.8252	0.5703	0.6745
0.0082	15.0	3945	0.2240	0.8329	0.5723	0.6784
0.0041	16.0	4208	0.2335	0.8333	0.5743	0.68
0.0041	17.0	4471	0.2355	0.8314	0.5762	0.6807
0.0023	18.0	4734	0.2308	0.8343	0.5782	0.683
0.0023	19.0	4997	0.2306	0.8314	0.5762	0.6807
0.0015	20.0	5260	0.2330	0.8343	0.5782	0.683

Framework versions

Transformers 4.39.1
Pytorch 2.7.0+cu118
Datasets 2.12.0
Tokenizers 0.15.2

Type: t5
License: apache-2.0
Created: May 26, 2025
Updated: May 26, 2025