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t5_base_answer-aware_eduQG – AI Model by ManuVleuBeu | AlphaNeural AI
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t5_base_answer-aware_eduQG
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
text-generation-inference
endpoints_compatible
us
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t5_base_answer-aware_eduQG
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.5453
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: 16
total_train_batch_size: 64
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
1.7541
2.35
100
1.5453
Framework versions
Transformers 4.27.4
Pytorch 2.0.0+cu117
Datasets 2.11.0
Tokenizers 0.13.3
