---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: Bert-QA-Pytorch-FULL
  results: []
---

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

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2154

## 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-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1633        | 1.0   | 3290 | 1.0515          |
| 0.8061        | 2.0   | 6580 | 1.0593          |
| 0.533         | 3.0   | 9870 | 1.2154          |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3