---
library_name: transformers
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-qa-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-qa-squad

This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0683

## 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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 250  | 2.0616          |
| 2.5805        | 2.0   | 500  | 1.5499          |
| 2.5805        | 3.0   | 750  | 1.4667          |
| 0.9723        | 4.0   | 1000 | 1.5280          |
| 0.9723        | 5.0   | 1250 | 1.6318          |
| 0.5373        | 6.0   | 1500 | 1.7628          |
| 0.5373        | 7.0   | 1750 | 1.8477          |
| 0.3376        | 8.0   | 2000 | 1.9533          |
| 0.3376        | 9.0   | 2250 | 2.0440          |
| 0.2465        | 10.0  | 2500 | 2.0683          |


### Framework versions

- Transformers 4.55.2
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.4