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distilbert-base-uncased-finetuned-squad2 – AI Model by arman1o1 | AlphaNeural AI
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distilbert-base-uncased-finetuned-squad2
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transformers
safetensors
distilbert
question-answering
generated_from_trainer
rajpurkar/squad_v2
distilbert/distilbert-base-uncased
finetune
apache-2.0
endpoints_compatible
us
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distilbert-base-uncased-finetuned-squad2
This model is a fine-tuned version of
distilbert-base-uncased
on squad_v2 dataset. It achieves the following results on the evaluation set:
Loss: 1.4150
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: 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
1.201
1.0
8235
1.2481
0.9086
2.0
16470
1.2382
0.7506
3.0
24705
1.4150
Framework versions
Transformers 4.55.4
Pytorch 2.7.0+gitf717b2a
Datasets 3.6.0
Tokenizers 0.21.4
