---
license: cc-by-4.0
base_model: deepset/bert-base-cased-squad2
tags:
- generated_from_trainer
model-index:
- name: bert-19
  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-19

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: 11.2343

## 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 11.3192       | 0.09  | 5    | 12.3265         |
| 11.4416       | 0.18  | 10   | 12.2762         |
| 11.0285       | 0.27  | 15   | 12.2265         |
| 11.1568       | 0.36  | 20   | 12.1786         |
| 11.1352       | 0.45  | 25   | 12.1313         |
| 11.1596       | 0.55  | 30   | 12.0857         |
| 10.4352       | 0.64  | 35   | 12.0412         |
| 11.0699       | 0.73  | 40   | 11.9982         |
| 10.6195       | 0.82  | 45   | 11.9567         |
| 10.5109       | 0.91  | 50   | 11.9161         |
| 10.2699       | 1.0   | 55   | 11.8766         |
| 10.4784       | 1.09  | 60   | 11.8384         |
| 10.5932       | 1.18  | 65   | 11.8018         |
| 10.8098       | 1.27  | 70   | 11.7661         |
| 10.3369       | 1.36  | 75   | 11.7312         |
| 10.7722       | 1.45  | 80   | 11.6981         |
| 10.4952       | 1.55  | 85   | 11.6657         |
| 10.4398       | 1.64  | 90   | 11.6341         |
| 10.2621       | 1.73  | 95   | 11.6045         |
| 10.4932       | 1.82  | 100  | 11.5753         |
| 10.0321       | 1.91  | 105  | 11.5481         |
| 10.3808       | 2.0   | 110  | 11.5216         |
| 10.3108       | 2.09  | 115  | 11.4966         |
| 10.1234       | 2.18  | 120  | 11.4725         |
| 10.2887       | 2.27  | 125  | 11.4492         |
| 10.4092       | 2.36  | 130  | 11.4274         |
| 9.9991        | 2.45  | 135  | 11.4068         |
| 10.3832       | 2.55  | 140  | 11.3872         |
| 9.937         | 2.64  | 145  | 11.3692         |
| 10.4397       | 2.73  | 150  | 11.3521         |
| 10.1919       | 2.82  | 155  | 11.3364         |
| 10.1394       | 2.91  | 160  | 11.3214         |
| 10.3371       | 3.0   | 165  | 11.3080         |
| 10.2649       | 3.09  | 170  | 11.2953         |
| 10.2511       | 3.18  | 175  | 11.2844         |
| 9.9485        | 3.27  | 180  | 11.2741         |
| 9.8203        | 3.36  | 185  | 11.2649         |
| 10.559        | 3.45  | 190  | 11.2574         |
| 10.1233       | 3.55  | 195  | 11.2504         |
| 9.9711        | 3.64  | 200  | 11.2451         |
| 9.8388        | 3.73  | 205  | 11.2407         |
| 9.7467        | 3.82  | 210  | 11.2373         |
| 9.7465        | 3.91  | 215  | 11.2350         |
| 10.3259       | 4.0   | 220  | 11.2343         |


### Framework versions

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