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distilbert-base-uncased-finetuned-squad – AI Model by uditsharma16 | AlphaNeural AI
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distilbert-base-uncased-finetuned-squad
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transformers
pytorch
tensorboard
distilbert
question-answering
generated_from_trainer
squad
distilbert/distilbert-base-uncased
finetune
apache-2.0
endpoints_compatible
us
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distilbert-base-uncased-finetuned-squad
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: 1.4108
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
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
1.1396
1.0
22131
1.1664
0.8867
2.0
44262
1.2341
0.5752
3.0
66393
1.4108
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3
