---
license: cc-by-4.0
base_model: deepset/bert-base-cased-squad2
tags:
- generated_from_trainer
model-index:
- name: bert-11
  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-11

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: 6.8857

## 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: 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 10.1921       | 0.09  | 5    | 7.0754          |
| 5.8664        | 0.18  | 10   | 5.7086          |
| 5.1625        | 0.27  | 15   | 5.4529          |
| 4.5385        | 0.36  | 20   | 5.3727          |
| 3.897         | 0.45  | 25   | 5.5354          |
| 3.6878        | 0.55  | 30   | 5.3682          |
| 2.9641        | 0.64  | 35   | 5.1507          |
| 2.7122        | 0.73  | 40   | 5.3411          |
| 2.741         | 0.82  | 45   | 5.5691          |
| 2.4612        | 0.91  | 50   | 5.7809          |
| 2.1667        | 1.0   | 55   | 6.0948          |
| 1.9087        | 1.09  | 60   | 6.2781          |
| 1.6097        | 1.18  | 65   | 6.4563          |
| 1.6726        | 1.27  | 70   | 6.5659          |
| 1.4427        | 1.36  | 75   | 6.5445          |
| 1.359         | 1.45  | 80   | 6.5064          |
| 1.3626        | 1.55  | 85   | 6.6096          |
| 1.0693        | 1.64  | 90   | 6.6934          |
| 1.1223        | 1.73  | 95   | 6.7681          |
| 1.0488        | 1.82  | 100  | 6.7284          |
| 0.8296        | 1.91  | 105  | 6.6706          |
| 0.9246        | 2.0   | 110  | 6.7214          |
| 0.7915        | 2.09  | 115  | 6.7793          |
| 0.5945        | 2.18  | 120  | 6.8051          |
| 0.6342        | 2.27  | 125  | 6.7852          |
| 0.513         | 2.36  | 130  | 6.8174          |
| 0.5309        | 2.45  | 135  | 6.8690          |
| 0.5658        | 2.55  | 140  | 6.8917          |
| 0.5028        | 2.64  | 145  | 6.8958          |
| 0.5523        | 2.73  | 150  | 6.9080          |
| 0.4203        | 2.82  | 155  | 6.9098          |
| 0.4735        | 2.91  | 160  | 6.8899          |
| 0.4147        | 3.0   | 165  | 6.8857          |


### Framework versions

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