---
license: cc-by-4.0
base_model: deepset/bert-base-cased-squad2
tags:
- generated_from_trainer
model-index:
- name: bert-25
  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-25

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: 10.9150

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 11.2284       | 0.18  | 5    | 12.3262         |
| 10.9876       | 0.36  | 10   | 12.2748         |
| 11.1442       | 0.54  | 15   | 12.2245         |
| 10.9113       | 0.71  | 20   | 12.1755         |
| 10.8104       | 0.89  | 25   | 12.1267         |
| 10.6362       | 1.07  | 30   | 12.0793         |
| 10.8187       | 1.25  | 35   | 12.0330         |
| 10.7052       | 1.43  | 40   | 11.9875         |
| 10.6594       | 1.61  | 45   | 11.9432         |
| 10.6863       | 1.79  | 50   | 11.8997         |
| 10.7858       | 1.96  | 55   | 11.8569         |
| 10.626        | 2.14  | 60   | 11.8158         |
| 10.4246       | 2.32  | 65   | 11.7756         |
| 10.3939       | 2.5   | 70   | 11.7359         |
| 10.7641       | 2.68  | 75   | 11.6970         |
| 10.341        | 2.86  | 80   | 11.6597         |
| 10.3492       | 3.04  | 85   | 11.6228         |
| 10.797        | 3.21  | 90   | 11.5867         |
| 10.3496       | 3.39  | 95   | 11.5514         |
| 10.1967       | 3.57  | 100  | 11.5177         |
| 10.4702       | 3.75  | 105  | 11.4843         |
| 10.3715       | 3.93  | 110  | 11.4521         |
| 10.1039       | 4.11  | 115  | 11.4213         |
| 10.1126       | 4.29  | 120  | 11.3915         |
| 9.9939        | 4.46  | 125  | 11.3625         |
| 10.1773       | 4.64  | 130  | 11.3342         |
| 10.062        | 4.82  | 135  | 11.3068         |
| 10.2641       | 5.0   | 140  | 11.2806         |
| 10.2323       | 5.18  | 145  | 11.2554         |
| 10.037        | 5.36  | 150  | 11.2309         |
| 10.0938       | 5.54  | 155  | 11.2069         |
| 9.8816        | 5.71  | 160  | 11.1845         |
| 10.124        | 5.89  | 165  | 11.1625         |
| 9.873         | 6.07  | 170  | 11.1416         |
| 9.7348        | 6.25  | 175  | 11.1220         |
| 9.9028        | 6.43  | 180  | 11.1028         |
| 9.997         | 6.61  | 185  | 11.0846         |
| 9.9333        | 6.79  | 190  | 11.0676         |
| 9.9954        | 6.96  | 195  | 11.0511         |
| 10.311        | 7.14  | 200  | 11.0356         |
| 9.7617        | 7.32  | 205  | 11.0213         |
| 10.0068       | 7.5   | 210  | 11.0075         |
| 9.6182        | 7.68  | 215  | 10.9949         |
| 9.7642        | 7.86  | 220  | 10.9835         |
| 9.8524        | 8.04  | 225  | 10.9728         |
| 9.7615        | 8.21  | 230  | 10.9630         |
| 9.7559        | 8.39  | 235  | 10.9542         |
| 9.5819        | 8.57  | 240  | 10.9461         |
| 9.5843        | 8.75  | 245  | 10.9392         |
| 10.05         | 8.93  | 250  | 10.9331         |
| 10.0722       | 9.11  | 255  | 10.9276         |
| 9.665         | 9.29  | 260  | 10.9233         |
| 9.7631        | 9.46  | 265  | 10.9197         |
| 9.7963        | 9.64  | 270  | 10.9172         |
| 9.9692        | 9.82  | 275  | 10.9155         |
| 9.885         | 10.0  | 280  | 10.9150         |


### Framework versions

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