---
license: cc-by-4.0
base_model: deepset/bert-base-cased-squad2
tags:
- generated_from_trainer
model-index:
- name: bert-18
  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. -->

# bert-18

This model is a fine-tuned version of [deepset/bert-base-cased-squad2](https://huggingface.co/deepset/bert-base-cased-squad2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 8.3340

## 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: 0.0001
- 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 11.2713       | 0.09  | 5    | 12.1606         |
| 11.199        | 0.18  | 10   | 11.9115         |
| 10.6074       | 0.27  | 15   | 11.6709         |
| 10.5475       | 0.36  | 20   | 11.4407         |
| 10.3761       | 0.45  | 25   | 11.2173         |
| 10.2166       | 0.55  | 30   | 11.0033         |
| 9.4143        | 0.64  | 35   | 10.7983         |
| 9.8307        | 0.73  | 40   | 10.6034         |
| 9.3026        | 0.82  | 45   | 10.4169         |
| 9.0636        | 0.91  | 50   | 10.2387         |
| 8.7689        | 1.0   | 55   | 10.0700         |
| 8.7969        | 1.09  | 60   | 9.9094          |
| 8.7596        | 1.18  | 65   | 9.7588          |
| 8.8433        | 1.27  | 70   | 9.6152          |
| 8.3576        | 1.36  | 75   | 9.4808          |
| 8.6226        | 1.45  | 80   | 9.3540          |
| 8.3176        | 1.55  | 85   | 9.2346          |
| 8.2174        | 1.64  | 90   | 9.1231          |
| 8.0514        | 1.73  | 95   | 9.0198          |
| 8.0813        | 1.82  | 100  | 8.9240          |
| 7.6971        | 1.91  | 105  | 8.8362          |
| 7.865         | 2.0   | 110  | 8.7562          |
| 7.7614        | 2.09  | 115  | 8.6834          |
| 7.6525        | 2.18  | 120  | 8.6179          |
| 7.7074        | 2.27  | 125  | 8.5593          |
| 7.7802        | 2.36  | 130  | 8.5073          |
| 7.4788        | 2.45  | 135  | 8.4625          |
| 7.6863        | 2.55  | 140  | 8.4245          |
| 7.3113        | 2.64  | 145  | 8.3934          |
| 7.6127        | 2.73  | 150  | 8.3692          |
| 7.471         | 2.82  | 155  | 8.3509          |
| 7.4979        | 2.91  | 160  | 8.3393          |
| 7.5977        | 3.0   | 165  | 8.3340          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1