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# qa_model_test

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5952

## 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: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 250  | 2.2961          |
| 2.72          | 2.0   | 500  | 1.5969          |
| 2.72          | 3.0   | 750  | 1.4995          |
| 1.0657        | 4.0   | 1000 | 1.4966          |
| 1.0657        | 5.0   | 1250 | 1.5677          |
| 0.6801        | 6.0   | 1500 | 1.5952          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

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