---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-qa-checkpoint
  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-qa-checkpoint

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2294

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 179  | 0.2972          |
| No log        | 2.0   | 358  | 0.1753          |
| 0.4638        | 3.0   | 537  | 0.1634          |
| 0.4638        | 4.0   | 716  | 0.1731          |
| 0.4638        | 5.0   | 895  | 0.1996          |
| 0.0607        | 6.0   | 1074 | 0.2229          |
| 0.0607        | 7.0   | 1253 | 0.2189          |
| 0.0607        | 8.0   | 1432 | 0.2097          |
| 0.0318        | 9.0   | 1611 | 0.2300          |
| 0.0318        | 10.0  | 1790 | 0.2294          |


### Framework versions

- Transformers 4.27.2
- Pytorch 1.13.1+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3