---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- subjqa
model-index:
- name: m_bert_large_qa_model_2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# m_bert_large_qa_model_2

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: 4.3531

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 64   | 2.6049          |
| No log        | 2.0   | 128  | 2.8487          |
| No log        | 3.0   | 192  | 3.4915          |
| No log        | 4.0   | 256  | 4.0808          |
| No log        | 5.0   | 320  | 4.3531          |


### Framework versions

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