t5-small-qg-2.0 – AI Model by the-coorporation | AlphaNeural AI

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t5-small-qg-2.0

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t5-small-qg-2.0

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

Loss: 1.9589

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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
3.2981	0.68	100	2.3598
2.4962	1.36	200	2.2479
2.374	2.03	300	2.1625
2.2951	2.71	400	2.0871
2.2279	3.39	500	2.0532
2.1926	4.07	600	2.0325
2.1605	4.75	700	2.0154
2.1438	5.42	800	1.9920
2.1154	6.1	900	1.9829
2.1014	6.78	1000	1.9782
2.0976	7.46	1100	1.9649
2.0817	8.14	1200	1.9647
2.0767	8.81	1300	1.9631
2.0749	9.49	1400	1.9589

Framework versions

Transformers 4.27.3
Pytorch 2.0.0
Datasets 2.10.1
Tokenizers 0.11.0