GEC-T5-small – AI Model by danangwijaya | AlphaNeural AI

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danangwijaya/
GEC-T5-small

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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GEC-T5-small

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

Loss: 1.6816

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: 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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	325	1.8041
1.908	2.0	650	1.7697
1.908	3.0	975	1.7359
1.8218	4.0	1300	1.7228
1.7942	5.0	1625	1.7061
1.7942	6.0	1950	1.6981
1.7497	7.0	2275	1.6910
1.7379	8.0	2600	1.6848
1.7379	9.0	2925	1.6828
1.7165	10.0	3250	1.6816

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1