purpose-extraction – AI Model by datasetsANDmodels | AlphaNeural AI

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datasetsANDmodels/
purpose-extraction

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text2text-generation

generated_from_trainer

google-t5/t5-large

text-generation-inference

endpoints_compatible

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This model extracts purpose from intent.

purpose_extractor

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

Loss: 0.0203

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
1.1179	1.0	109	0.6176
0.09	2.0	218	0.1340
0.0982	3.0	327	0.0781
0.0015	4.0	436	0.0522
0.3695	5.0	545	0.0406
0.0051	6.0	654	0.0310
0.0294	7.0	763	0.0251
0.0027	8.0	872	0.0228
0.015	9.0	981	0.0209
0.0303	10.0	1090	0.0203

Framework versions

Transformers 4.35.2
Pytorch 2.1.1
Datasets 2.15.0
Tokenizers 0.15.0