---
license: cc-by-4.0
base_model: deepset/bert-base-cased-squad2
tags:
- generated_from_trainer
model-index:
- name: bert-10
  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-10

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: 9.5797

## 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-07
- train_batch_size: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 10.8556       | 0.05  | 5    | 12.3235         |
| 10.8413       | 0.09  | 10   | 12.2591         |
| 11.0649       | 0.14  | 15   | 12.1778         |
| 11.6408       | 0.18  | 20   | 12.0989         |
| 11.3732       | 0.23  | 25   | 12.0213         |
| 10.5122       | 0.28  | 30   | 11.9458         |
| 10.6594       | 0.32  | 35   | 11.8691         |
| 10.745        | 0.37  | 40   | 11.7928         |
| 10.8256       | 0.41  | 45   | 11.7163         |
| 10.1627       | 0.46  | 50   | 11.6430         |
| 10.9907       | 0.5   | 55   | 11.5703         |
| 10.1394       | 0.55  | 60   | 11.4997         |
| 9.6059        | 0.6   | 65   | 11.4287         |
| 9.4972        | 0.64  | 70   | 11.3621         |
| 10.2252       | 0.69  | 75   | 11.2949         |
| 10.4887       | 0.73  | 80   | 11.2288         |
| 9.9616        | 0.78  | 85   | 11.1638         |
| 9.5775        | 0.83  | 90   | 11.1003         |
| 9.5971        | 0.87  | 95   | 11.0381         |
| 9.5745        | 0.92  | 100  | 10.9773         |
| 9.3218        | 0.96  | 105  | 10.9178         |
| 9.4906        | 1.01  | 110  | 10.8597         |
| 9.1168        | 1.06  | 115  | 10.8030         |
| 9.8009        | 1.1   | 120  | 10.7465         |
| 9.3632        | 1.15  | 125  | 10.6915         |
| 8.9858        | 1.19  | 130  | 10.6399         |
| 9.2904        | 1.24  | 135  | 10.5874         |
| 9.5344        | 1.28  | 140  | 10.5370         |
| 9.0034        | 1.33  | 145  | 10.4871         |
| 9.3024        | 1.38  | 150  | 10.4384         |
| 8.7905        | 1.42  | 155  | 10.3920         |
| 8.9329        | 1.47  | 160  | 10.3465         |
| 8.9834        | 1.51  | 165  | 10.3027         |
| 8.7307        | 1.56  | 170  | 10.2607         |
| 8.6729        | 1.61  | 175  | 10.2200         |
| 9.1849        | 1.65  | 180  | 10.1794         |
| 9.1618        | 1.7   | 185  | 10.1400         |
| 8.9048        | 1.74  | 190  | 10.1023         |
| 8.9427        | 1.79  | 195  | 10.0655         |
| 9.1052        | 1.83  | 200  | 10.0294         |
| 9.1123        | 1.88  | 205  | 9.9938          |
| 9.0476        | 1.93  | 210  | 9.9604          |
| 8.5532        | 1.97  | 215  | 9.9285          |
| 8.7871        | 2.02  | 220  | 9.8977          |
| 8.5984        | 2.06  | 225  | 9.8690          |
| 8.7009        | 2.11  | 230  | 9.8414          |
| 8.9376        | 2.16  | 235  | 9.8146          |
| 8.3535        | 2.2   | 240  | 9.7906          |
| 8.5805        | 2.25  | 245  | 9.7675          |
| 8.4641        | 2.29  | 250  | 9.7463          |
| 8.3975        | 2.34  | 255  | 9.7263          |
| 8.7698        | 2.39  | 260  | 9.7070          |
| 8.3541        | 2.43  | 265  | 9.6901          |
| 8.5443        | 2.48  | 270  | 9.6743          |
| 8.1539        | 2.52  | 275  | 9.6595          |
| 7.9856        | 2.57  | 280  | 9.6459          |
| 8.2532        | 2.61  | 285  | 9.6333          |
| 8.2116        | 2.66  | 290  | 9.6221          |
| 8.9557        | 2.71  | 295  | 9.6119          |
| 8.0754        | 2.75  | 300  | 9.6032          |
| 7.9534        | 2.8   | 305  | 9.5956          |
| 8.5578        | 2.84  | 310  | 9.5899          |
| 8.6403        | 2.89  | 315  | 9.5848          |
| 8.1103        | 2.94  | 320  | 9.5817          |
| 8.3785        | 2.98  | 325  | 9.5797          |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1