---
license: mit
base_model: csarron/mobilebert-uncased-squad-v2
tags:
- generated_from_trainer
model-index:
- name: mobilebert-uncased-squad-v2-16-11-2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

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

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: 16.1284

## 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   | 2.6193          |
| 1.4634        | 2.0   | 978   | 3.0847          |
| 1.2884        | 3.0   | 1467  | 3.2589          |
| 1.1511        | 4.0   | 1956  | 3.9182          |
| 1.0809        | 5.0   | 2445  | 3.7122          |
| 1.008         | 6.0   | 2934  | 4.5737          |
| 0.9048        | 7.0   | 3423  | 5.2430          |
| 0.7411        | 8.0   | 3912  | 5.4474          |
| 0.6668        | 9.0   | 4401  | 5.9275          |
| 0.557         | 10.0  | 4890  | 7.8979          |
| 0.4912        | 11.0  | 5379  | 7.8582          |
| 0.409         | 12.0  | 5868  | 8.1236          |
| 0.3293        | 13.0  | 6357  | 9.7170          |
| 0.3408        | 14.0  | 6846  | 10.1125         |
| 0.2514        | 15.0  | 7335  | 10.8043         |
| 0.2042        | 16.0  | 7824  | 11.1361         |
| 0.201         | 17.0  | 8313  | 12.5571         |
| 0.1846        | 18.0  | 8802  | 13.4892         |
| 0.1582        | 19.0  | 9291  | 13.4029         |
| 0.1185        | 20.0  | 9780  | 14.8577         |
| 0.1048        | 21.0  | 10269 | 15.3951         |
| 0.1258        | 22.0  | 10758 | 15.3019         |
| 0.0763        | 23.0  | 11247 | 15.5361         |
| 0.0684        | 24.0  | 11736 | 15.8837         |
| 0.0667        | 25.0  | 12225 | 16.1284         |


### Framework versions

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