---
license: cc-by-4.0
base_model: deepset/bert-base-cased-squad2
tags:
- generated_from_trainer
model-index:
- name: bert-15
  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-15

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: 11.5138

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 11.3192       | 0.09  | 5    | 12.3266         |
| 11.4418       | 0.18  | 10   | 12.2766         |
| 11.029        | 0.27  | 15   | 12.2278         |
| 11.1589       | 0.36  | 20   | 12.1813         |
| 11.1385       | 0.45  | 25   | 12.1361         |
| 11.1645       | 0.55  | 30   | 12.0921         |
| 10.4417       | 0.64  | 35   | 12.0500         |
| 11.0789       | 0.73  | 40   | 12.0100         |
| 10.6311       | 0.82  | 45   | 11.9712         |
| 10.5261       | 0.91  | 50   | 11.9340         |
| 10.2874       | 1.0   | 55   | 11.8991         |
| 10.5003       | 1.09  | 60   | 11.8652         |
| 10.6206       | 1.18  | 65   | 11.8330         |
| 10.8413       | 1.27  | 70   | 11.8025         |
| 10.3731       | 1.36  | 75   | 11.7735         |
| 10.8143       | 1.45  | 80   | 11.7455         |
| 10.5414       | 1.55  | 85   | 11.7199         |
| 10.4919       | 1.64  | 90   | 11.6950         |
| 10.3187       | 1.73  | 95   | 11.6721         |
| 10.5598       | 1.82  | 100  | 11.6508         |
| 10.1028       | 1.91  | 105  | 11.6310         |
| 10.4634       | 2.0   | 110  | 11.6125         |
| 10.3986       | 2.09  | 115  | 11.5958         |
| 10.2164       | 2.18  | 120  | 11.5810         |
| 10.3932       | 2.27  | 125  | 11.5674         |
| 10.5229       | 2.36  | 130  | 11.5549         |
| 10.1181       | 2.45  | 135  | 11.5444         |
| 10.5176       | 2.55  | 140  | 11.5354         |
| 10.0784       | 2.64  | 145  | 11.5279         |
| 10.599        | 2.73  | 150  | 11.5223         |
| 10.3577       | 2.82  | 155  | 11.5180         |
| 10.3107       | 2.91  | 160  | 11.5150         |
| 10.5243       | 3.0   | 165  | 11.5138         |


### Framework versions

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