---
license: cc-by-4.0
base_model: deepset/bert-base-cased-squad2
tags:
- generated_from_trainer
model-index:
- name: bert-28
  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-28

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: 11.6678

## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 11.2204       | 0.18  | 5    | 12.3027         |
| 10.9471       | 0.36  | 10   | 12.2255         |
| 11.0769       | 0.54  | 15   | 12.1528         |
| 10.8237       | 0.71  | 20   | 12.0849         |
| 10.6924       | 0.89  | 25   | 12.0233         |
| 10.5051       | 1.07  | 30   | 11.9672         |
| 10.6612       | 1.25  | 35   | 11.9154         |
| 10.5235       | 1.43  | 40   | 11.8683         |
| 10.4814       | 1.61  | 45   | 11.8262         |
| 10.5109       | 1.79  | 50   | 11.7882         |
| 10.623        | 1.96  | 55   | 11.7560         |
| 10.4358       | 2.14  | 60   | 11.7285         |
| 10.234        | 2.32  | 65   | 11.7056         |
| 10.2805       | 2.5   | 70   | 11.6881         |
| 10.6227       | 2.68  | 75   | 11.6760         |
| 10.2278       | 2.86  | 80   | 11.6678         |


### Framework versions

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