---
base_model: deepset/bert-base-cased-squad2
tags:
- generated_from_trainer
model-index:
- name: test-bert-2
  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. -->

# test-bert-2

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: 11.9673

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 10.9875       | 0.09  | 5    | 12.2820         |
| 10.8852       | 0.18  | 10   | 12.2237         |
| 10.4256       | 0.27  | 15   | 12.1709         |
| 10.7823       | 0.36  | 20   | 12.1247         |
| 10.6526       | 0.45  | 25   | 12.0841         |
| 10.7789       | 0.55  | 30   | 12.0501         |
| 10.1529       | 0.64  | 35   | 12.0217         |
| 10.0756       | 0.73  | 40   | 11.9991         |
| 10.4683       | 0.82  | 45   | 11.9829         |
| 10.2829       | 0.91  | 50   | 11.9721         |
| 10.5809       | 1.0   | 55   | 11.9673         |


### Framework versions

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