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distilbert-base-uncased-finetuned-squad_2_512_1 – AI Model by raisinbl | AlphaNeural AI
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raisinbl
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distilbert-base-uncased-finetuned-squad_2_512_1
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transformers
pytorch
tensorboard
distilbert
question-answering
generated_from_trainer
squad_v2
apache-2.0
endpoints_compatible
us
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distilbert-base-uncased-finetuned-squad_2_512_1
This model is a fine-tuned version of
distilbert-base-uncased
on the squad_v2 dataset. It achieves the following results on the evaluation set:
Loss: 1.3225
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
1.2681
1.0
4079
1.2434
1.0223
2.0
8158
1.3153
0.865
3.0
12237
1.3225
Framework versions
Transformers 4.20.1
Pytorch 1.12.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1
