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T5-QA – AI Model by DiDiR6 | AlphaNeural AI
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DiDiR6
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T5-QA
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transformers
tensorboard
safetensors
t5
question-answering
generated_from_trainer
google-t5/t5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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Model card
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QA
This model is a fine-tuned version of
google-t5/t5-small
on the Squad V2 Dataset. It achieves the following results on the evaluation set:
Loss: 1.2978
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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
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
1.6544
1.0
8321
1.4161
1.47
2.0
16642
1.3316
1.4079
3.0
24963
1.2978
Framework versions
Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1
