---
license: cc-by-4.0
base_model: deepset/bert-base-cased-squad2
tags:
- generated_from_trainer
model-index:
- name: bert-17
  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-17

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: 5.7381

## 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: 0.0005
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 11.0352       | 0.09  | 5    | 11.3392         |
| 10.0155       | 0.18  | 10   | 10.1330         |
| 8.6139        | 0.27  | 15   | 9.0228          |
| 7.7654        | 0.36  | 20   | 8.0477          |
| 7.1161        | 0.45  | 25   | 7.2438          |
| 6.486         | 0.55  | 30   | 6.6691          |
| 5.9793        | 0.64  | 35   | 6.3524          |
| 5.8845        | 0.73  | 40   | 6.2251          |
| 5.8619        | 0.82  | 45   | 6.1625          |
| 5.7536        | 0.91  | 50   | 6.1058          |
| 5.6831        | 1.0   | 55   | 6.0479          |
| 5.5525        | 1.09  | 60   | 5.9939          |
| 5.4714        | 1.18  | 65   | 5.9510          |
| 5.4384        | 1.27  | 70   | 5.9123          |
| 5.4539        | 1.36  | 75   | 5.8817          |
| 5.4073        | 1.45  | 80   | 5.8593          |
| 5.4048        | 1.55  | 85   | 5.8395          |
| 5.2997        | 1.64  | 90   | 5.8225          |
| 5.2388        | 1.73  | 95   | 5.8099          |
| 5.2564        | 1.82  | 100  | 5.7986          |
| 5.1758        | 1.91  | 105  | 5.7872          |
| 5.1926        | 2.0   | 110  | 5.7800          |
| 4.9244        | 2.09  | 115  | 5.7747          |
| 5.0897        | 2.18  | 120  | 5.7689          |
| 5.2493        | 2.27  | 125  | 5.7610          |
| 5.0594        | 2.36  | 130  | 5.7541          |
| 5.0792        | 2.45  | 135  | 5.7485          |
| 4.9952        | 2.55  | 140  | 5.7455          |
| 4.8796        | 2.64  | 145  | 5.7436          |
| 4.9344        | 2.73  | 150  | 5.7418          |
| 5.2387        | 2.82  | 155  | 5.7402          |
| 5.0734        | 2.91  | 160  | 5.7385          |
| 5.0227        | 3.0   | 165  | 5.7381          |


### Framework versions

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