---
license: cc-by-4.0
base_model: deepset/bert-base-cased-squad2
tags:
- generated_from_trainer
model-index:
- name: bert-16
  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-16

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: 10.2625

## 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: 5e-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 |
|:-------------:|:-----:|:----:|:---------------:|
| 11.3013       | 0.09  | 5    | 12.2645         |
| 11.351        | 0.18  | 10   | 12.1394         |
| 10.8708       | 0.27  | 15   | 12.0185         |
| 10.9286       | 0.36  | 20   | 11.9023         |
| 10.8502       | 0.45  | 25   | 11.7895         |
| 10.806        | 0.55  | 30   | 11.6807         |
| 10.0507       | 0.64  | 35   | 11.5771         |
| 10.6057       | 0.73  | 40   | 11.4770         |
| 10.1224       | 0.82  | 45   | 11.3818         |
| 9.9648        | 0.91  | 50   | 11.2900         |
| 9.7027        | 1.0   | 55   | 11.2029         |
| 9.8434        | 1.09  | 60   | 11.1193         |
| 9.8999        | 1.18  | 65   | 11.0406         |
| 10.0717       | 1.27  | 70   | 10.9654         |
| 9.5874        | 1.36  | 75   | 10.8939         |
| 9.9629        | 1.45  | 80   | 10.8264         |
| 9.6759        | 1.55  | 85   | 10.7628         |
| 9.6001        | 1.64  | 90   | 10.7023         |
| 9.4276        | 1.73  | 95   | 10.6462         |
| 9.5867        | 1.82  | 100  | 10.5940         |
| 9.1448        | 1.91  | 105  | 10.5456         |
| 9.4274        | 2.0   | 110  | 10.5012         |
| 9.3621        | 2.09  | 115  | 10.4610         |
| 9.1924        | 2.18  | 120  | 10.4240         |
| 9.318         | 2.27  | 125  | 10.3911         |
| 9.4253        | 2.36  | 130  | 10.3618         |
| 9.0476        | 2.45  | 135  | 10.3361         |
| 9.3817        | 2.55  | 140  | 10.3147         |
| 8.9517        | 2.64  | 145  | 10.2968         |
| 9.4026        | 2.73  | 150  | 10.2828         |
| 9.1891        | 2.82  | 155  | 10.2723         |
| 9.1735        | 2.91  | 160  | 10.2654         |
| 9.3527        | 3.0   | 165  | 10.2625         |


### Framework versions

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