---
license: apache-2.0
base_model: distilbert-base-cased-distilled-squad
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-cased-distilled-squad-finetuned-squad
  results: []
---

<!-- 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-cased-distilled-squad-finetuned-squad

This model is a fine-tuned version of [distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert-base-cased-distilled-squad) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.3012

## 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: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 66   | 2.4569          |
| No log        | 2.0   | 132  | 2.3201          |
| No log        | 3.0   | 198  | 2.3281          |
| No log        | 4.0   | 264  | 2.3895          |
| No log        | 5.0   | 330  | 2.7032          |
| No log        | 6.0   | 396  | 2.9461          |
| No log        | 7.0   | 462  | 3.2856          |
| 1.4273        | 8.0   | 528  | 3.4643          |
| 1.4273        | 9.0   | 594  | 3.7349          |
| 1.4273        | 10.0  | 660  | 4.1377          |
| 1.4273        | 11.0  | 726  | 4.2097          |
| 1.4273        | 12.0  | 792  | 4.3009          |
| 1.4273        | 13.0  | 858  | 4.4249          |
| 1.4273        | 14.0  | 924  | 4.5736          |
| 1.4273        | 15.0  | 990  | 4.7452          |
| 0.222         | 16.0  | 1056 | 4.8124          |
| 0.222         | 17.0  | 1122 | 4.8169          |
| 0.222         | 18.0  | 1188 | 5.1680          |
| 0.222         | 19.0  | 1254 | 5.0830          |
| 0.222         | 20.0  | 1320 | 5.1588          |
| 0.222         | 21.0  | 1386 | 5.1933          |
| 0.222         | 22.0  | 1452 | 5.2828          |
| 0.0343        | 23.0  | 1518 | 5.2054          |
| 0.0343        | 24.0  | 1584 | 5.2622          |
| 0.0343        | 25.0  | 1650 | 5.2089          |
| 0.0343        | 26.0  | 1716 | 5.2026          |
| 0.0343        | 27.0  | 1782 | 5.3382          |
| 0.0343        | 28.0  | 1848 | 5.2926          |
| 0.0343        | 29.0  | 1914 | 5.3003          |
| 0.0343        | 30.0  | 1980 | 5.3012          |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3