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coqa_full – AI Model by katxtong | AlphaNeural AI
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katxtong
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coqa_full
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transformers
tensorboard
safetensors
t5
question-answering
generated_from_trainer
coqa
distilbert/distilbert-base-uncased
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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coqa_full
This model is a fine-tuned version of
distilbert-base-uncased
on the coqa dataset.
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
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
