metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - squad
model-index:
  - name: distilbert-base-uncased-finetuned-squad
    results:
      - task:
          type: question-answering
          name: Question Answering
        dataset:
          name: adversarial_qa
          type: adversarial_qa
          config: adversarialQA
          split: validation
        metrics:
          - type: f1
            value: 28.1049
            name: F1
            verified: true
            verifyToken: >-
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          - type: exact_match
            value: 16.8333
            name: Exact Match
            verified: true
            verifyToken: >-
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          - type: loss
            value: 3.6697278022766113
            name: loss
            verified: true
            verifyToken: >-
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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: 1.1657

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: 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
1.2109	1.0	5533	1.1564
0.9593	2.0	11066	1.1297
0.7541	3.0	16599	1.1657

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2