transformers pytorch distilbert question-answering generated_from_trainer dataset:squad_v2 base_model:distilbert/distilbert-base-uncased base_model:finetune:distilbert/distilbert-base-uncased license:apache-2.0 model-index endpoints_compatible region:us
---
base_model: distilbert-base-uncased
datasets:
- squad_v2
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-SQuAD2.0
  results:
  - task:
      type: question-answering
      name: Question Answering
    dataset:
      name: squad_v2
      type: squad_v2
      config: squad_v2
      split: validation
    metrics:
    - type: exact_match
      value: 63.9097
      name: Exact Match
    - type: f1
      value: 67.6732
      name: F1
---

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# distilbert-base-uncased-finetuned-squad-squad_v2

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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
