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kaggle_q_a – AI Model by mrbach | AlphaNeural AI
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mrbach
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kaggle_q_a
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transformers
tensorboard
safetensors
distilbert
question-answering
generated_from_trainer
squad
distilbert/distilbert-base-uncased
finetune
apache-2.0
endpoints_compatible
us
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kaggle_q_a
This model is a fine-tuned version of
distilbert-base-uncased
on the squad dataset. It achieves the following results on the evaluation set:
Loss: 2.1599
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: 32
eval_batch_size: 32
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
No log
1.0
125
3.0275
No log
2.0
250
2.2726
No log
3.0
375
2.1599
Framework versions
Transformers 4.35.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.14.1
