---
library_name: transformers
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: 4.6645

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 125  | 3.7494          |
| No log        | 2.0   | 250  | 4.6551          |
| No log        | 3.0   | 375  | 4.9969          |
| 0.6094        | 4.0   | 500  | 4.3655          |
| 0.6094        | 5.0   | 625  | 4.9081          |
| 0.6094        | 6.0   | 750  | 4.5831          |
| 0.6094        | 7.0   | 875  | 4.7445          |
| 0.2684        | 8.0   | 1000 | 5.0672          |
| 0.2684        | 9.0   | 1125 | 4.8105          |
| 0.2684        | 10.0  | 1250 | 4.6566          |
| 0.2684        | 11.0  | 1375 | 5.8653          |
| 0.0965        | 12.0  | 1500 | 4.4089          |
| 0.0965        | 13.0  | 1625 | 4.7304          |
| 0.0965        | 14.0  | 1750 | 5.1014          |
| 0.0965        | 15.0  | 1875 | 4.2105          |
| 0.0381        | 16.0  | 2000 | 4.8819          |
| 0.0381        | 17.0  | 2125 | 4.7390          |
| 0.0381        | 18.0  | 2250 | 5.3897          |
| 0.0381        | 19.0  | 2375 | 5.5069          |
| 0.0112        | 20.0  | 2500 | 5.0056          |
| 0.0112        | 21.0  | 2625 | 5.0906          |
| 0.0112        | 22.0  | 2750 | 5.3302          |
| 0.0112        | 23.0  | 2875 | 5.1362          |
| 0.0099        | 24.0  | 3000 | 5.1425          |
| 0.0099        | 25.0  | 3125 | 5.1981          |
| 0.0099        | 26.0  | 3250 | 5.5815          |
| 0.0099        | 27.0  | 3375 | 5.2460          |
| 0.0061        | 28.0  | 3500 | 5.1738          |
| 0.0061        | 29.0  | 3625 | 4.8819          |
| 0.0061        | 30.0  | 3750 | 4.7672          |
| 0.0061        | 31.0  | 3875 | 5.4433          |
| 0.0063        | 32.0  | 4000 | 4.9059          |
| 0.0063        | 33.0  | 4125 | 4.7085          |
| 0.0063        | 34.0  | 4250 | 4.6759          |
| 0.0063        | 35.0  | 4375 | 5.0234          |
| 0.0025        | 36.0  | 4500 | 4.8672          |
| 0.0025        | 37.0  | 4625 | 4.9866          |
| 0.0025        | 38.0  | 4750 | 5.4582          |
| 0.0025        | 39.0  | 4875 | 5.1790          |
| 0.0073        | 40.0  | 5000 | 5.0817          |
| 0.0073        | 41.0  | 5125 | 4.9067          |
| 0.0073        | 42.0  | 5250 | 4.6703          |
| 0.0073        | 43.0  | 5375 | 4.7862          |
| 0.0005        | 44.0  | 5500 | 4.8015          |
| 0.0005        | 45.0  | 5625 | 4.6506          |
| 0.0005        | 46.0  | 5750 | 4.6334          |
| 0.0005        | 47.0  | 5875 | 4.6804          |
| 0.0015        | 48.0  | 6000 | 4.6257          |
| 0.0015        | 49.0  | 6125 | 4.6653          |
| 0.0015        | 50.0  | 6250 | 4.6645          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Tokenizers 0.19.1