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# mobilebert-uncased-squad-v1-finetuned-squad

This model is a fine-tuned version of [csarron/mobilebert-uncased-squad-v1](https://huggingface.co/csarron/mobilebert-uncased-squad-v1) on the squad dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9892

## 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: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5958        | 1.0   | 5533 | 0.9892          |


### Framework versions

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

{"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "base_model": "csarron/mobilebert-uncased-squad-v1", "model-index": [{"name": "mobilebert-uncased-squad-v1-finetuned-squad", "results": []}]}
transformers tensorboard safetensors mobilebert question-answering generated_from_trainer dataset:squad base_model:csarron/mobilebert-uncased-squad-v1 license:mit endpoints_compatible region:us