metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - squad_v2
model-index:
  - name: distilbert-base-uncased-finetuned-squad
    results:
      - task:
          type: question-answering
          name: Question Answering
        dataset:
          name: squad_v2
          type: squad_v2
          config: squad_v2
          split: validation
        metrics:
          - name: Exact Match
            type: exact_match
            value: 46.4111
            verified: true
          - name: F1
            type: f1
            value: 50.7154
            verified: true

distilbert-base-uncased-finetuned-squad

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: 2.4285

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
1.5169	1.0	1642	1.6958
1.1326	2.0	3284	2.0009
0.8638	3.0	4926	2.4285

Framework versions

Transformers 4.12.5
Pytorch 1.10.0+cu111
Datasets 1.15.1
Tokenizers 0.10.3