model – AI Model by raf-dc | AlphaNeural AI | AlphaNeural AI

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model

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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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: 0.1818
Edit Distance: 13.598

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: 18
eval_batch_size: 18
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 18

Training results

Training Loss	Epoch	Step	Validation Loss	Edit Distance
0.7351	1.0	500	0.2832	13.844
0.3224	2.0	1000	0.2401	13.85
0.2788	3.0	1500	0.2285	13.795
0.2595	4.0	2000	0.2179	13.805
0.2469	5.0	2500	0.2066	13.687
0.233	6.0	3000	0.1912	13.67
0.219	7.0	3500	0.1874	13.658
0.2135	8.0	4000	0.1895	13.65
0.2101	9.0	4500	0.1883	13.643
0.2074	10.0	5000	0.1836	13.643
0.2057	11.0	5500	0.1825	13.649
0.2042	12.0	6000	0.1834	13.614
0.2034	13.0	6500	0.1828	13.623
0.2017	14.0	7000	0.1820	13.653
0.2017	15.0	7500	0.1824	13.634
0.2004	16.0	8000	0.1822	13.641
0.2006	17.0	8500	0.1817	13.62
0.2005	18.0	9000	0.1818	13.598

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1