---
license: cc-by-4.0
base_model: deepset/bert-base-cased-squad2
tags:
- generated_from_trainer
model-index:
- name: bert-30
  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-30

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: 11.0923

## 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: 3e-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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 11.3132       | 0.09  | 5    | 12.3056         |
| 11.4114       | 0.18  | 10   | 12.2307         |
| 10.9764       | 0.27  | 15   | 12.1584         |
| 11.0818       | 0.36  | 20   | 12.0885         |
| 11.0423       | 0.45  | 25   | 12.0202         |
| 11.0449       | 0.55  | 30   | 11.9548         |
| 10.3108       | 0.64  | 35   | 11.8919         |
| 10.9207       | 0.73  | 40   | 11.8320         |
| 10.4606       | 0.82  | 45   | 11.7743         |
| 10.3376       | 0.91  | 50   | 11.7188         |
| 10.091        | 1.0   | 55   | 11.6658         |
| 10.2796       | 1.09  | 60   | 11.6154         |
| 10.3783       | 1.18  | 65   | 11.5677         |
| 10.5827       | 1.27  | 70   | 11.5216         |
| 10.1084       | 1.36  | 75   | 11.4785         |
| 10.5279       | 1.45  | 80   | 11.4372         |
| 10.2497       | 1.55  | 85   | 11.3984         |
| 10.1908       | 1.64  | 90   | 11.3618         |
| 10.0181       | 1.73  | 95   | 11.3275         |
| 10.2313       | 1.82  | 100  | 11.2956         |
| 9.7781        | 1.91  | 105  | 11.2663         |
| 10.1123       | 2.0   | 110  | 11.2391         |
| 10.0491       | 2.09  | 115  | 11.2141         |
| 9.869         | 2.18  | 120  | 11.1916         |
| 10.0292       | 2.27  | 125  | 11.1714         |
| 10.1515       | 2.36  | 130  | 11.1534         |
| 9.7539        | 2.45  | 135  | 11.1377         |
| 10.1323       | 2.55  | 140  | 11.1242         |
| 9.6956        | 2.64  | 145  | 11.1136         |
| 10.1937       | 2.73  | 150  | 11.1050         |
| 9.9615        | 2.82  | 155  | 11.0983         |
| 9.9249        | 2.91  | 160  | 11.0940         |
| 10.1271       | 3.0   | 165  | 11.0923         |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1