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# mobilebert-uncased-squad-v2-16-11-2-16-11-2

This model is a fine-tuned version of [badokorach/mobilebert-uncased-squad-v2-16-11-2](https://huggingface.co/badokorach/mobilebert-uncased-squad-v2-16-11-2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 25.2478

## 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: 25

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| No log        | 1.0   | 489   | 11.9059         |
| 0.3138        | 2.0   | 978   | 14.2379         |
| 0.2761        | 3.0   | 1467  | 14.5768         |
| 0.1998        | 4.0   | 1956  | 15.1178         |
| 0.2174        | 5.0   | 2445  | 16.0960         |
| 0.1874        | 6.0   | 2934  | 16.4190         |
| 0.155         | 7.0   | 3423  | 16.1489         |
| 0.1099        | 8.0   | 3912  | 16.4489         |
| 0.1429        | 9.0   | 4401  | 18.7170         |
| 0.1202        | 10.0  | 4890  | 17.5416         |
| 0.0998        | 11.0  | 5379  | 19.1337         |
| 0.0669        | 12.0  | 5868  | 20.7663         |
| 0.0517        | 13.0  | 6357  | 22.7418         |
| 0.0735        | 14.0  | 6846  | 22.7180         |
| 0.057         | 15.0  | 7335  | 21.5752         |
| 0.0382        | 16.0  | 7824  | 24.7041         |
| 0.0287        | 17.0  | 8313  | 23.8935         |
| 0.0582        | 18.0  | 8802  | 23.1639         |
| 0.0539        | 19.0  | 9291  | 23.2207         |
| 0.0349        | 20.0  | 9780  | 23.2792         |
| 0.0279        | 21.0  | 10269 | 24.0050         |
| 0.0536        | 22.0  | 10758 | 25.2554         |
| 0.0245        | 23.0  | 11247 | 25.7729         |
| 0.015         | 24.0  | 11736 | 25.1429         |
| 0.0166        | 25.0  | 12225 | 25.2478         |


### 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"], "base_model": "badokorach/mobilebert-uncased-squad-v2-16-11-2", "model-index": [{"name": "mobilebert-uncased-squad-v2-16-11-2-16-11-2", "results": []}]}
transformers safetensors mobilebert question-answering generated_from_trainer base_model:badokorach/mobilebert-uncased-squad-v2-16-11-2 license:mit endpoints_compatible region:us