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# my_awesome_qa_model

This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0044

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 21   | 0.4687          |
| No log        | 2.0   | 42   | 0.5886          |
| No log        | 3.0   | 63   | 0.6614          |
| No log        | 4.0   | 84   | 0.6629          |
| No log        | 5.0   | 105  | 0.8131          |
| No log        | 6.0   | 126  | 1.1301          |
| No log        | 7.0   | 147  | 0.9610          |
| No log        | 8.0   | 168  | 1.0402          |
| No log        | 9.0   | 189  | 1.0127          |
| No log        | 10.0  | 210  | 1.0044          |


### Framework versions

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

{"license": "cc-by-4.0", "tags": ["generated_from_trainer"], "base_model": "deepset/roberta-base-squad2", "model-index": [{"name": "my_awesome_qa_model", "results": []}]}
transformers safetensors roberta question-answering generated_from_trainer base_model:deepset/roberta-base-squad2 license:cc-by-4.0 endpoints_compatible region:us