---
license: cc-by-4.0
base_model: deepset/bert-base-cased-squad2
tags:
- generated_from_trainer
model-index:
- name: bert-30
  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-30

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: 11.5113

## 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 11.3133       | 0.09  | 5    | 12.3059         |
| 11.4119       | 0.18  | 10   | 12.2326         |
| 10.9781       | 0.27  | 15   | 12.1623         |
| 11.087        | 0.36  | 20   | 12.0961         |
| 11.0516       | 0.45  | 25   | 12.0332         |
| 11.0596       | 0.55  | 30   | 11.9737         |
| 10.3306       | 0.64  | 35   | 11.9182         |
| 10.9488       | 0.73  | 40   | 11.8666         |
| 10.4959       | 0.82  | 45   | 11.8184         |
| 10.3818       | 0.91  | 50   | 11.7738         |
| 10.143        | 1.0   | 55   | 11.7325         |
| 10.3456       | 1.09  | 60   | 11.6951         |
| 10.4584       | 1.18  | 65   | 11.6612         |
| 10.6774       | 1.27  | 70   | 11.6308         |
| 10.2145       | 1.36  | 75   | 11.6035         |
| 10.6536       | 1.45  | 80   | 11.5801         |
| 10.3892       | 1.55  | 85   | 11.5599         |
| 10.3469       | 1.64  | 90   | 11.5429         |
| 10.1863       | 1.73  | 95   | 11.5295         |
| 10.4296       | 1.82  | 100  | 11.5200         |
| 9.989         | 1.91  | 105  | 11.5140         |
| 10.3568       | 2.0   | 110  | 11.5113         |


### Framework versions

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