---
base_model: hadsag/bert-base-uncased-finetuned-squad-v2
tags:
- generated_from_trainer
model-index:
- name: bert-base-uncased-finetuned-squad-v2-finetuned-squad
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-base-uncased-finetuned-squad-v2-finetuned-squad

This model is a fine-tuned version of [hadsag/bert-base-uncased-finetuned-squad-v2](https://huggingface.co/hadsag/bert-base-uncased-finetuned-squad-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1786

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.4339        | 1.0   | 8235  | 1.4045          |
| 0.2529        | 2.0   | 16470 | 1.7723          |
| 0.1577        | 3.0   | 24705 | 2.1786          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2