---
base_model: phiyodr/bert-base-finetuned-squad2
tags:
- generated_from_trainer
model-index:
- name: test-bert-1
  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. -->

# test-bert-1

This model is a fine-tuned version of [phiyodr/bert-base-finetuned-squad2](https://huggingface.co/phiyodr/bert-base-finetuned-squad2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 8.3972

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 8.3538        | 0.09  | 5    | 9.3652          |
| 8.271         | 0.18  | 10   | 9.3025          |
| 8.2794        | 0.27  | 15   | 9.2420          |
| 8.0966        | 0.36  | 20   | 9.1837          |
| 8.1925        | 0.45  | 25   | 9.1277          |
| 8.1126        | 0.55  | 30   | 9.0740          |
| 7.711         | 0.64  | 35   | 9.0230          |
| 7.5978        | 0.73  | 40   | 8.9749          |
| 8.0276        | 0.82  | 45   | 8.9287          |
| 7.7477        | 0.91  | 50   | 8.8839          |
| 7.5803        | 1.0   | 55   | 8.8422          |
| 7.6439        | 1.09  | 60   | 8.8022          |
| 7.4937        | 1.18  | 65   | 8.7649          |
| 7.6905        | 1.27  | 70   | 8.7294          |
| 7.7922        | 1.36  | 75   | 8.6950          |
| 7.7377        | 1.45  | 80   | 8.6623          |
| 7.8642        | 1.55  | 85   | 8.6316          |
| 7.5909        | 1.64  | 90   | 8.6025          |
| 7.4629        | 1.73  | 95   | 8.5758          |
| 7.5195        | 1.82  | 100  | 8.5512          |
| 7.664         | 1.91  | 105  | 8.5282          |
| 7.3092        | 2.0   | 110  | 8.5074          |
| 7.015         | 2.09  | 115  | 8.4889          |
| 7.4112        | 2.18  | 120  | 8.4719          |
| 7.6664        | 2.27  | 125  | 8.4563          |
| 7.5634        | 2.36  | 130  | 8.4430          |
| 7.4502        | 2.45  | 135  | 8.4314          |
| 7.3085        | 2.55  | 140  | 8.4212          |
| 7.2558        | 2.64  | 145  | 8.4128          |
| 7.4077        | 2.73  | 150  | 8.4066          |
| 7.6318        | 2.82  | 155  | 8.4017          |
| 7.3355        | 2.91  | 160  | 8.3988          |
| 7.4367        | 3.0   | 165  | 8.3972          |


### Framework versions

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