---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: bert_large_subjqa_model_v4
  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_large_subjqa_model_v4

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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 13.7958

## 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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 410  | 11.2497         |
| 0.1447        | 2.0   | 820  | 10.3669         |
| 0.1913        | 3.0   | 1230 | 11.5822         |
| 0.1439        | 4.0   | 1640 | 11.7240         |
| 0.0995        | 5.0   | 2050 | 11.5282         |
| 0.0995        | 6.0   | 2460 | 11.7716         |
| 0.1058        | 7.0   | 2870 | 13.3381         |
| 0.0709        | 8.0   | 3280 | 12.5043         |
| 0.0529        | 9.0   | 3690 | 12.8842         |
| 0.0441        | 10.0  | 4100 | 12.8577         |
| 0.0378        | 11.0  | 4510 | 13.0998         |
| 0.0378        | 12.0  | 4920 | 13.8685         |
| 0.0429        | 13.0  | 5330 | 13.8242         |
| 0.0333        | 14.0  | 5740 | 13.8526         |
| 0.0331        | 15.0  | 6150 | 13.7958         |


### Framework versions

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