---
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: distilbert-finetuned-squadv2
  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-finetuned-squadv2

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: 1.5319

## 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 1.3945        | 0.4998 | 2741  | 1.3654          |
| 1.2187        | 0.9996 | 5482  | 1.2518          |
| 0.9937        | 1.4995 | 8223  | 1.2515          |
| 0.8966        | 1.9993 | 10964 | 1.2321          |
| 0.7284        | 2.4991 | 13705 | 1.3200          |
| 0.7586        | 2.9989 | 16446 | 1.2978          |
| 0.5655        | 3.4987 | 19187 | 1.4298          |
| 0.567         | 3.9985 | 21928 | 1.4508          |
| 0.479         | 4.4984 | 24669 | 1.4952          |
| 0.4874        | 4.9982 | 27410 | 1.5319          |


### Framework versions

- Transformers 4.57.6
- Pytorch 2.9.0+cu126
- Datasets 2.16.1
- Tokenizers 0.22.2