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distilbert-base-uncased-finetuned-squad

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distilbert-base-uncased-finetuned-squad
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---
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
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    - type: exact_match
      value: 16.8333
      name: Exact Match
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZjcxY2M1YzE3ZGVhZjY3NmVmMTMxZWI2MDQzMjIwZjkzNGU4NDk3YjJhM2Y1ZmI3MjhiMmZmZDc3ZGNhMGRlZCIsInZlcnNpb24iOjF9.42aWSl0lCIJT5T1MiIW2IBmlC4p9PDILAWtPmzvpCp15whV9sVCqkJsFnhHqj4lp93yAM-PAOqTV4IjrmUnSCA
    - type: loss
      value: 3.6697278022766113
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzkyZWQ3OTFiMGJiNTIzYWY2NzY2MzU2NmI0YmVhZGQ0ZTMxODA4ZTk1OGQ1ZDcxNzg0YjkwZmY2Njc3MmRlNCIsInZlcnNpb24iOjF9.wwZcsWtNr4wZQqhTgVwsAbUT2w7z6-T-wFR7pfqDoY-BC-CaH2aOUwgcUvpi9oY9kBPwjaCoW0gUytNWTnbHDg
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# distilbert-base-uncased-finetuned-squad

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