---
license: cc-by-4.0
base_model: deepset/bert-base-cased-squad2
tags:
- generated_from_trainer
model-index:
- name: bert-20
  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-20

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: 10.1509

## 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: constant
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 11.3191       | 0.09  | 5    | 12.3262         |
| 11.4409       | 0.18  | 10   | 12.2742         |
| 11.0259       | 0.27  | 15   | 12.2224         |
| 11.1517       | 0.36  | 20   | 12.1706         |
| 11.1256       | 0.45  | 25   | 12.1189         |
| 11.1448       | 0.55  | 30   | 12.0668         |
| 10.4156       | 0.64  | 35   | 12.0150         |
| 11.0415       | 0.73  | 40   | 11.9641         |
| 10.5847       | 0.82  | 45   | 11.9123         |
| 10.4663       | 0.91  | 50   | 11.8612         |
| 10.2171       | 1.0   | 55   | 11.8098         |
| 10.4121       | 1.09  | 60   | 11.7587         |
| 10.5127       | 1.18  | 65   | 11.7082         |
| 10.7149       | 1.27  | 70   | 11.6574         |
| 10.2304       | 1.36  | 75   | 11.6066         |
| 10.6459       | 1.45  | 80   | 11.5557         |
| 10.3551       | 1.55  | 85   | 11.5044         |
| 10.2838       | 1.64  | 90   | 11.4531         |
| 10.0924       | 1.73  | 95   | 11.4025         |
| 10.295        | 1.82  | 100  | 11.3513         |
| 9.8206        | 1.91  | 105  | 11.3005         |
| 10.1365       | 2.0   | 110  | 11.2498         |
| 10.0496       | 2.09  | 115  | 11.1992         |
| 9.8465        | 2.18  | 120  | 11.1489         |
| 9.9778        | 2.27  | 125  | 11.0980         |
| 10.0708       | 2.36  | 130  | 11.0471         |
| 9.6465        | 2.45  | 135  | 10.9962         |
| 9.9864        | 2.55  | 140  | 10.9461         |
| 9.5175        | 2.64  | 145  | 10.8963         |
| 9.9675        | 2.73  | 150  | 10.8461         |
| 9.7013        | 2.82  | 155  | 10.7963         |
| 9.6324        | 2.91  | 160  | 10.7461         |
| 9.7833        | 3.0   | 165  | 10.6960         |
| 9.6806        | 3.09  | 170  | 10.6461         |
| 9.6208        | 3.18  | 175  | 10.5964         |
| 9.3067        | 3.27  | 180  | 10.5468         |
| 9.1504        | 3.36  | 185  | 10.4972         |
| 9.8082        | 3.45  | 190  | 10.4474         |
| 9.3738        | 3.55  | 195  | 10.3978         |
| 9.1904        | 3.64  | 200  | 10.3478         |
| 9.0302        | 3.73  | 205  | 10.2981         |
| 8.8785        | 3.82  | 210  | 10.2490         |
| 8.8765        | 3.91  | 215  | 10.1997         |
| 9.3           | 4.0   | 220  | 10.1509         |


### Framework versions

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