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t5-simple-qg-hu – AI Model by mrbalazs5 | AlphaNeural AI
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t5-simple-qg-hu
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transformers
pytorch
tensorboard
mt5
text2text-generation
generated_from_trainer
t5_squad
google/mt5-base
finetune
apache-2.0
endpoints_compatible
us
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t5-simple-qg-hu
This model is a fine-tuned version of
google/mt5-base
on the t5_squad dataset. It achieves the following results on the evaluation set:
Loss: 1.7546
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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 7
Training results
Training Loss
Epoch
Step
Validation Loss
7.2425
1.35
100
2.5868
2.9755
2.71
200
1.9272
2.3029
4.06
300
1.7986
2.176
5.42
400
1.7645
2.1273
6.77
500
1.7546
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
