t5-small-equadorKP – AI Model by rizvi-rahil786 | AlphaNeural AI

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rizvi-rahil786/
t5-small-equadorKP

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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t5-small-equadorKP

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

Loss: 1.0211
Rouge1: 51.8765
Rouge2: 37.0451
Rougel: 51.7365
Rougelsum: 51.7259
Gen Len: 6.5792

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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.171	1.0	6211	1.0792	50.847	37.011	50.7195	50.7905	6.4681
1.0127	2.0	12422	1.0760	51.2373	36.3082	51.0543	51.0786	6.5929
0.893	3.0	18633	1.0566	51.723	37.1819	51.5442	51.5984	6.7485
0.8944	4.0	24844	1.0580	51.1839	36.1186	50.969	50.9885	6.6299
0.8545	5.0	31055	1.0211	51.8765	37.0451	51.7365	51.7259	6.5792
0.8064	6.0	37266	1.0479	52.0241	37.6607	51.898	51.9317	6.4859
0.7433	7.0	43477	1.0473	51.9749	37.6617	51.8543	51.8594	6.4873
0.7496	8.0	49688	1.0570	52.2833	38.1133	52.1644	52.1668	6.5949

Framework versions

Transformers 4.39.3
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2