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# my_awesome_qa_model

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the squad dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0082

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.5682        | 1.0   | 1250  | 0.5403          |
| 0.7379        | 2.0   | 2500  | 0.3208          |
| 0.4839        | 3.0   | 3750  | 0.1690          |
| 0.3227        | 4.0   | 5000  | 0.0984          |
| 0.2188        | 5.0   | 6250  | 0.0498          |
| 0.1484        | 6.0   | 7500  | 0.0341          |
| 0.1065        | 7.0   | 8750  | 0.0199          |
| 0.0796        | 8.0   | 10000 | 0.0127          |
| 0.0599        | 9.0   | 11250 | 0.0093          |
| 0.0484        | 10.0  | 12500 | 0.0082          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["squad"], "base_model": "bert-base-uncased", "model-index": [{"name": "my_awesome_qa_model", "results": []}]}
transformers tensorboard safetensors bert question-answering generated_from_trainer dataset:squad base_model:bert-base-uncased license:apache-2.0 endpoints_compatible region:us