---
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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/orgilj/huggingface/runs/huv7x3zh)
# 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: 5.4253

## 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: 64
- eval_batch_size: 64
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 4.635         | 1.0   | 1384  | 4.5790          |
| 4.4544        | 2.0   | 2768  | 4.4523          |
| 4.2617        | 3.0   | 4152  | 4.3310          |
| 4.1031        | 4.0   | 5536  | 4.2816          |
| 3.9956        | 5.0   | 6920  | 4.2679          |
| 3.8676        | 6.0   | 8304  | 4.2379          |
| 3.7723        | 7.0   | 9688  | 4.3650          |
| 3.6775        | 8.0   | 11072 | 4.2837          |
| 3.5571        | 9.0   | 12456 | 4.3691          |
| 3.469         | 10.0  | 13840 | 4.3981          |
| 3.3777        | 11.0  | 15224 | 4.4369          |
| 3.2817        | 12.0  | 16608 | 4.5183          |
| 3.1812        | 13.0  | 17992 | 4.6001          |
| 3.0944        | 14.0  | 19376 | 4.6602          |
| 3.0193        | 15.0  | 20760 | 4.7157          |
| 2.9398        | 16.0  | 22144 | 4.7307          |
| 2.8544        | 17.0  | 23528 | 4.8100          |
| 2.7735        | 18.0  | 24912 | 4.9065          |
| 2.7244        | 19.0  | 26296 | 4.9776          |
| 2.6561        | 20.0  | 27680 | 5.0650          |
| 2.5995        | 21.0  | 29064 | 5.1428          |
| 2.5324        | 22.0  | 30448 | 5.1684          |
| 2.4836        | 23.0  | 31832 | 5.1686          |
| 2.4398        | 24.0  | 33216 | 5.2283          |
| 2.4037        | 25.0  | 34600 | 5.2688          |
| 2.3645        | 26.0  | 35984 | 5.3086          |
| 2.3382        | 27.0  | 37368 | 5.3551          |
| 2.3117        | 28.0  | 38752 | 5.4321          |
| 2.2725        | 29.0  | 40136 | 5.4103          |
| 2.2693        | 30.0  | 41520 | 5.4253          |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1