t5-base-end2end-questions-generation_squad_eli_exp_imp – AI Model by Khushnur | AlphaNeural AI

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Khushnur/
t5-base-end2end-questions-generation_squad_eli_exp_imp

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text2text-generation

generated_from_trainer

google-t5/t5-base

text-generation-inference

endpoints_compatible

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t5-base-end2end-questions-generation_squad_eli_exp_imp

This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.2204

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
2.3587	0.24	100	2.2995
2.1713	0.48	200	2.2715
2.1506	0.72	300	2.2446
2.1138	0.96	400	2.2391
2.0454	1.21	500	2.2350
2.0286	1.45	600	2.2319
2.0171	1.69	700	2.2214
2.0041	1.93	800	2.2205
1.9694	2.17	900	2.2208
1.964	2.41	1000	2.2232
1.9667	2.65	1100	2.2191
1.9659	2.89	1200	2.2204

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.1
Tokenizers 0.13.3