---
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: 11.4865

## 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: 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 11.2225       | 0.18  | 5    | 12.3054         |
| 10.9594       | 0.36  | 10   | 12.2315         |
| 11.0948       | 0.54  | 15   | 12.1603         |
| 10.8444       | 0.71  | 20   | 12.0935         |
| 10.7294       | 0.89  | 25   | 12.0294         |
| 10.5432       | 1.07  | 30   | 11.9697         |
| 10.71         | 1.25  | 35   | 11.9133         |
| 10.5919       | 1.43  | 40   | 11.8601         |
| 10.5393       | 1.61  | 45   | 11.8109         |
| 10.562        | 1.79  | 50   | 11.7650         |
| 10.6558       | 1.96  | 55   | 11.7222         |
| 10.4995       | 2.14  | 60   | 11.6835         |
| 10.3046       | 2.32  | 65   | 11.6488         |
| 10.2809       | 2.5   | 70   | 11.6169         |
| 10.6538       | 2.68  | 75   | 11.5887         |
| 10.2451       | 2.86  | 80   | 11.5635         |
| 10.2671       | 3.04  | 85   | 11.5420         |
| 10.7256       | 3.21  | 90   | 11.5243         |
| 10.2996       | 3.39  | 95   | 11.5094         |
| 10.1658       | 3.57  | 100  | 11.4983         |
| 10.4609       | 3.75  | 105  | 11.4906         |
| 10.3872       | 3.93  | 110  | 11.4865         |


### Framework versions

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