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t5-end2end-questions-generation – AI Model by ppakawut | AlphaNeural AI
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t5-end2end-questions-generation
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
squad_modified_for_t5_qg
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5-end2end-questions-generation
This model is a fine-tuned version of
t5-base
on the squad_modified_for_t5_qg dataset. It achieves the following results on the evaluation set:
Loss: 2.0210
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: 1e-05
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
4.1284
0.68
100
2.6874
2.6557
1.35
200
2.1673
2.3119
2.03
300
2.0985
2.25
2.71
400
2.0626
2.2195
3.39
500
2.0408
2.1947
4.06
600
2.0272
2.1877
4.74
700
2.0210
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
