---
library_name: transformers
base_model: gavinqiangli/distilbert-base-uncased-finetuned-squad-continued-training
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-squad-continued-training-completed
  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-continued-training-completed

This model is a fine-tuned version of [gavinqiangli/distilbert-base-uncased-finetuned-squad-continued-training](https://huggingface.co/gavinqiangli/distilbert-base-uncased-finetuned-squad-continued-training) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3237

## 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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.7655        | 1.0   | 5533  | 1.2392          |
| 0.5546        | 2.0   | 11066 | 1.3237          |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0