my_awesome_qa_model – AI Model by Suhaib-27 | AlphaNeural AI

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Suhaib-27/
my_awesome_qa_model

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question-answering

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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my_awesome_qa_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: 1.3445

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: 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: 15

Training results

Training Loss	Epoch	Step	Validation Loss
4.903	1.0	500	4.2644
4.0823	2.0	1000	3.0521
3.1786	3.0	1500	2.2772
2.58	4.0	2000	1.9238
2.2254	5.0	2500	1.7344
2.014	6.0	3000	1.6439
1.856	7.0	3500	1.5438
1.7535	8.0	4000	1.4824
1.6585	9.0	4500	1.4340
1.6097	10.0	5000	1.4029
1.5742	11.0	5500	1.3768
1.5231	12.0	6000	1.3546
1.4916	13.0	6500	1.3463
1.4553	14.0	7000	1.3435
1.4392	15.0	7500	1.3445

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1