---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- subjqa
model-index:
- name: bert_qa_model_movies_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. -->

# bert_qa_model_movies_1

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: 5.6802

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 33   | 3.2957          |
| No log        | 2.0   | 66   | 3.7399          |
| No log        | 3.0   | 99   | 4.2908          |
| No log        | 4.0   | 132  | 5.4020          |
| No log        | 5.0   | 165  | 5.6802          |


### Framework versions

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