---
license: cc-by-4.0
base_model: deepset/bert-base-cased-squad2
tags:
- generated_from_trainer
model-index:
- name: bert-23
  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-23

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: 5.9468

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 10.9511       | 0.09  | 5    | 10.5588         |
| 8.6122        | 0.18  | 10   | 8.0465          |
| 6.3959        | 0.27  | 15   | 6.5185          |
| 5.5714        | 0.36  | 20   | 5.9355          |
| 5.2088        | 0.45  | 25   | 5.8452          |
| 5.0174        | 0.55  | 30   | 5.9581          |
| 4.3863        | 0.64  | 35   | 6.1063          |
| 4.2079        | 0.73  | 40   | 6.1976          |
| 4.5909        | 0.82  | 45   | 5.8724          |
| 4.2584        | 0.91  | 50   | 5.5712          |
| 4.2042        | 1.0   | 55   | 5.4376          |
| 3.7625        | 1.09  | 60   | 5.4613          |
| 3.5759        | 1.18  | 65   | 5.5305          |
| 3.6831        | 1.27  | 70   | 5.5329          |
| 3.7596        | 1.36  | 75   | 5.5254          |
| 3.6216        | 1.45  | 80   | 5.5825          |
| 3.769         | 1.55  | 85   | 5.6090          |
| 3.5107        | 1.64  | 90   | 5.6351          |
| 3.3485        | 1.73  | 95   | 5.6501          |
| 3.4216        | 1.82  | 100  | 5.6611          |
| 3.3527        | 1.91  | 105  | 5.7240          |
| 3.2204        | 2.0   | 110  | 5.8332          |
| 2.9853        | 2.09  | 115  | 5.8772          |
| 3.207         | 2.18  | 120  | 5.8846          |
| 3.4566        | 2.27  | 125  | 5.8788          |
| 3.1248        | 2.36  | 130  | 5.8898          |
| 3.0917        | 2.45  | 135  | 5.9108          |
| 3.1331        | 2.55  | 140  | 5.9545          |
| 2.9234        | 2.64  | 145  | 5.9664          |
| 3.0005        | 2.73  | 150  | 5.9582          |
| 3.4196        | 2.82  | 155  | 5.9526          |
| 3.2783        | 2.91  | 160  | 5.9486          |
| 3.1719        | 3.0   | 165  | 5.9468          |


### Framework versions

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