---
license: cc-by-4.0
base_model: deepset/bert-base-cased-squad2
tags:
- generated_from_trainer
model-index:
- name: bert-21
  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-21

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: 11.9330

## 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: 3e-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: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 11.3134       | 0.09  | 5    | 12.3068         |
| 11.4146       | 0.18  | 10   | 12.2378         |
| 10.9861       | 0.27  | 15   | 12.1756         |
| 11.1036       | 0.36  | 20   | 12.1205         |
| 11.079        | 0.45  | 25   | 12.0721         |
| 11.1039       | 0.55  | 30   | 12.0310         |
| 10.3894       | 0.64  | 35   | 11.9972         |
| 11.034        | 0.73  | 40   | 11.9707         |
| 10.6017       | 0.82  | 45   | 11.9511         |
| 10.5161       | 0.91  | 50   | 11.9387         |
| 10.3011       | 1.0   | 55   | 11.9330         |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1