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distilbert-base-cased-squad-qa – AI Model by JohnOfGod33 | AlphaNeural AI
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JohnOfGod33
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distilbert-base-cased-squad-qa
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transformers
safetensors
distilbert
question-answering
generated_from_trainer
distilbert/distilbert-base-cased
finetune
apache-2.0
endpoints_compatible
us
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distilbert-base-cased-squad-qa
This model is a fine-tuned version of
distilbert/distilbert-base-cased
on
squad_v2
dataset. It achieves the following results on the evaluation set:
Loss: 1.1465
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
distributed_type: tpu
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.3163
1.0
6516
1.2122
1.0425
2.0
13032
1.1327
0.8278
3.0
19548
1.1465
Framework versions
Transformers 5.0.0
Pytorch 2.9.0+cpu
Datasets 4.8.2
Tokenizers 0.22.2
