generated_from_trainer base_model:deepset/bert-base-cased-squad2 license:cc-by-4.0 region:us
---
license: cc-by-4.0
base_model: deepset/bert-base-cased-squad2
tags:
- generated_from_trainer
model-index:
- name: bert-26
  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-26

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: 6.8756

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 7.1774        | 0.18  | 5    | 7.2847          |
| 6.9676        | 0.36  | 10   | 7.1874          |
| 6.9639        | 0.54  | 15   | 7.1658          |
| 6.821         | 0.71  | 20   | 7.1371          |
| 6.7658        | 0.89  | 25   | 7.1082          |
| 6.7752        | 1.07  | 30   | 7.0762          |
| 6.7502        | 1.25  | 35   | 7.0440          |
| 6.7292        | 1.43  | 40   | 7.0080          |
| 6.6645        | 1.61  | 45   | 6.9767          |
| 6.6253        | 1.79  | 50   | 6.9528          |
| 6.6661        | 1.96  | 55   | 6.9324          |
| 6.6808        | 2.14  | 60   | 6.9133          |
| 6.692         | 2.32  | 65   | 6.8985          |
| 6.5486        | 2.5   | 70   | 6.8864          |
| 6.5355        | 2.68  | 75   | 6.8789          |
| 6.5888        | 2.86  | 80   | 6.8756          |


### Framework versions

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