---
license: mit
base_model: csarron/mobilebert-uncased-squad-v2
tags:
- generated_from_trainer
model-index:
- name: mobilebert-uncased-squad-v2-30-10-22
  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-v2-30-10-22

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: 3.0483

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 228  | 2.0782          |
| No log        | 2.0   | 456  | 2.0429          |
| 1.9343        | 3.0   | 684  | 2.0610          |
| 1.9343        | 4.0   | 912  | 2.3113          |
| 1.7023        | 5.0   | 1140 | 2.2637          |
| 1.7023        | 6.0   | 1368 | 2.4966          |
| 1.4557        | 7.0   | 1596 | 2.6158          |
| 1.4557        | 8.0   | 1824 | 2.8876          |
| 1.2366        | 9.0   | 2052 | 2.9951          |
| 1.2366        | 10.0  | 2280 | 3.0483          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1