---
license: cc-by-4.0
tags:
- generated_from_trainer
model-index:
- name: bert-base-cased-squad2-coffee20230113
  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-base-cased-squad2-coffee20230113

This model is a fine-tuned version of [deepset/bert-base-cased-squad2](https://huggingface.co/deepset/bert-base-cased-squad2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.3859

## 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: 5e-05
- 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 88   | 2.0785          |
| 2.2589        | 2.0   | 176  | 1.9542          |
| 1.4038        | 3.0   | 264  | 1.7714          |
| 0.9533        | 4.0   | 352  | 2.2673          |
| 0.5394        | 5.0   | 440  | 2.5496          |
| 0.4353        | 6.0   | 528  | 3.2302          |
| 0.4201        | 7.0   | 616  | 3.7247          |
| 0.2477        | 8.0   | 704  | 3.4248          |
| 0.2477        | 9.0   | 792  | 3.8344          |
| 0.1633        | 10.0  | 880  | 4.1582          |
| 0.0979        | 11.0  | 968  | 3.8764          |
| 0.0621        | 12.0  | 1056 | 4.1686          |
| 0.0242        | 13.0  | 1144 | 4.2762          |
| 0.0091        | 14.0  | 1232 | 4.4176          |
| 0.0061        | 15.0  | 1320 | 4.3859          |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.11.0+cu113
- Datasets 2.8.0
- Tokenizers 0.13.2