---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-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-uncased-finetuned-squad

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.1676

## 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 47   | 3.7022          |
| No log        | 2.0   | 94   | 3.2578          |
| No log        | 3.0   | 141  | 3.1677          |
| No log        | 4.0   | 188  | 3.1411          |
| No log        | 5.0   | 235  | 3.2288          |
| No log        | 6.0   | 282  | 3.2640          |
| No log        | 7.0   | 329  | 3.3689          |
| No log        | 8.0   | 376  | 3.4776          |
| No log        | 9.0   | 423  | 3.5919          |
| No log        | 10.0  | 470  | 3.6319          |
| 2.2819        | 11.0  | 517  | 3.8199          |
| 2.2819        | 12.0  | 564  | 3.9339          |
| 2.2819        | 13.0  | 611  | 3.9348          |
| 2.2819        | 14.0  | 658  | 3.9293          |
| 2.2819        | 15.0  | 705  | 4.0312          |
| 2.2819        | 16.0  | 752  | 4.1651          |
| 2.2819        | 17.0  | 799  | 4.0788          |
| 2.2819        | 18.0  | 846  | 4.1112          |
| 2.2819        | 19.0  | 893  | 4.1513          |
| 2.2819        | 20.0  | 940  | 4.1676          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0