---
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: 10.2691

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 11.3132       | 0.09  | 5    | 12.3055         |
| 11.4109       | 0.18  | 10   | 12.2292         |
| 10.9744       | 0.27  | 15   | 12.1547         |
| 11.0771       | 0.36  | 20   | 12.0814         |
| 11.0342       | 0.45  | 25   | 12.0101         |
| 11.0327       | 0.55  | 30   | 11.9396         |
| 10.2954       | 0.64  | 35   | 11.8706         |
| 10.8979       | 0.73  | 40   | 11.8043         |
| 10.432        | 0.82  | 45   | 11.7386         |
| 10.3023       | 0.91  | 50   | 11.6747         |
| 10.0494       | 1.0   | 55   | 11.6128         |
| 10.2273       | 1.09  | 60   | 11.5521         |
| 10.3139       | 1.18  | 65   | 11.4931         |
| 10.5075       | 1.27  | 70   | 11.4349         |
| 10.0234       | 1.36  | 75   | 11.3790         |
| 10.4276       | 1.45  | 80   | 11.3238         |
| 10.1397       | 1.55  | 85   | 11.2699         |
| 10.0675       | 1.64  | 90   | 11.2174         |
| 9.8835        | 1.73  | 95   | 11.1665         |
| 10.0738       | 1.82  | 100  | 11.1169         |
| 9.6112        | 1.91  | 105  | 11.0687         |
| 9.9186        | 2.0   | 110  | 11.0227         |
| 9.8411        | 2.09  | 115  | 10.9779         |
| 9.6506        | 2.18  | 120  | 10.9342         |
| 9.7831        | 2.27  | 125  | 10.8916         |
| 9.8835        | 2.36  | 130  | 10.8509         |
| 9.4752        | 2.45  | 135  | 10.8111         |
| 9.8176        | 2.55  | 140  | 10.7731         |
| 9.3628        | 2.64  | 145  | 10.7369         |
| 9.819         | 2.73  | 150  | 10.7017         |
| 9.572         | 2.82  | 155  | 10.6681         |
| 9.522         | 2.91  | 160  | 10.6356         |
| 9.6874        | 3.0   | 165  | 10.6046         |
| 9.6037        | 3.09  | 170  | 10.5750         |
| 9.5624        | 3.18  | 175  | 10.5468         |
| 9.2702        | 3.27  | 180  | 10.5202         |
| 9.1347        | 3.36  | 185  | 10.4947         |
| 9.8154        | 3.45  | 190  | 10.4706         |
| 9.4045        | 3.55  | 195  | 10.4475         |
| 9.2453        | 3.64  | 200  | 10.4262         |
| 9.1087        | 3.73  | 205  | 10.4062         |
| 8.985         | 3.82  | 210  | 10.3875         |
| 9.0054        | 3.91  | 215  | 10.3705         |
| 9.4764        | 4.0   | 220  | 10.3545         |
| 9.13          | 4.09  | 225  | 10.3401         |
| 9.4397        | 4.18  | 230  | 10.3272         |
| 9.0841        | 4.27  | 235  | 10.3153         |
| 9.5885        | 4.36  | 240  | 10.3048         |
| 9.4137        | 4.45  | 245  | 10.2958         |
| 9.1068        | 4.55  | 250  | 10.2878         |
| 9.1388        | 4.64  | 255  | 10.2816         |
| 8.8014        | 4.73  | 260  | 10.2763         |
| 8.9782        | 4.82  | 265  | 10.2727         |
| 9.222         | 4.91  | 270  | 10.2701         |
| 9.292         | 5.0   | 275  | 10.2691         |


### Framework versions

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