---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: squad_distilbert
  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. -->

# squad_distilbert

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: 2.5411

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.2592        | 1.0   | 2738  | 1.1407          |
| 0.9254        | 2.0   | 5476  | 1.1297          |
| 0.7153        | 3.0   | 8214  | 1.1560          |
| 0.5814        | 4.0   | 10952 | 1.2990          |
| 0.4528        | 5.0   | 13690 | 1.4225          |
| 0.3592        | 6.0   | 16428 | 1.5411          |
| 0.2932        | 7.0   | 19166 | 1.6802          |
| 0.2383        | 8.0   | 21904 | 1.7984          |
| 0.1898        | 9.0   | 24642 | 1.9599          |
| 0.1553        | 10.0  | 27380 | 2.1424          |
| 0.1297        | 11.0  | 30118 | 2.2808          |
| 0.1074        | 12.0  | 32856 | 2.3198          |
| 0.0922        | 13.0  | 35594 | 2.3774          |
| 0.08          | 14.0  | 38332 | 2.5194          |
| 0.0678        | 15.0  | 41070 | 2.5411          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0