---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- subjqa
model-index:
- name: bert-large-uncased-whole-word-masking-finetuned-squad_qa_model
  results: []
---

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# bert-large-uncased-whole-word-masking-finetuned-squad_qa_model

This model is a fine-tuned version of [bert-large-uncased-whole-word-masking-finetuned-squad](https://huggingface.co./bert-large-uncased-whole-word-masking-finetuned-squad) on the subjqa dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0801

## 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: 1e-07
- 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.9274        | 1.0   | 32   | 4.2355          |
| 3.8299        | 2.0   | 64   | 4.1462          |
| 3.7131        | 3.0   | 96   | 4.0968          |
| 3.7329        | 4.0   | 128  | 4.0801          |


### Framework versions

- Transformers 4.28.0
- Pytorch 1.13.0a0+d321be6
- Datasets 2.12.0
- Tokenizers 0.13.3