---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-qa-checkpoint-v5
  results: []
---

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# distilbert-qa-checkpoint-v5

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: 0.4904

## 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: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.3912        | 1.0   | 2059  | 0.3897          |
| 0.3313        | 2.0   | 4118  | 0.3449          |
| 0.2679        | 3.0   | 6177  | 0.3508          |
| 0.2323        | 4.0   | 8236  | 0.3489          |
| 0.2047        | 5.0   | 10295 | 0.3578          |
| 0.1913        | 6.0   | 12354 | 0.4529          |
| 0.1821        | 7.0   | 14413 | 0.4904          |


### Framework versions

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