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# mobilebert-uncased-squad-v2-30-10-2

This model is a fine-tuned version of [csarron/mobilebert-uncased-squad-v2](https://huggingface.co/csarron/mobilebert-uncased-squad-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.628         | 1.0   | 9048  | 0.9281          |
| 0.2131        | 2.0   | 18096 | 0.1117          |
| 0.0784        | 3.0   | 27144 | 0.0231          |
| 0.0287        | 4.0   | 36192 | 0.0005          |
| 0.0096        | 5.0   | 45240 | 0.0000          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "csarron/mobilebert-uncased-squad-v2", "model-index": [{"name": "mobilebert-uncased-squad-v2-30-10-2", "results": []}]}
transformers safetensors mobilebert question-answering generated_from_trainer base_model:csarron/mobilebert-uncased-squad-v2 license:mit endpoints_compatible region:us