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Distilbert-base-uncased-finetuned-SQuAD2.0 – AI Model by lauraparra28 | AlphaNeural AI | AlphaNeural AI
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lauraparra28
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Distilbert-base-uncased-finetuned-SQuAD2.0
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transformers
pytorch
distilbert
question-answering
generated_from_trainer
squad_v2
distilbert/distilbert-base-uncased
finetune
apache-2.0
model-index
endpoints_compatible
us
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distilbert-base-uncased-finetuned-squad-squad_v2
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: 1.8785
Exact Match: 63.9097
F1-score: 67.6732
Overview
Language model:
distilbert-base-uncased
Language:
English
Downstream-task:
Extractive QA
Training data:
SQuAD 2.0
Eval data:
SQuAD 2.0
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
1.2231
1.0
8235
1.2833
0.9337
2.0
16470
1.2849
0.7437
3.0
24705
1.4186
0.5927
4.0
32940
1.6308
0.4795
5.0
41175
1.8785
Framework versions
Transformers 4.34.0
Pytorch 1.12.1
Datasets 2.14.5
Tokenizers 0.14.1
