---
base_model: mrm8488/mobilebert-uncased-finetuned-squadv1
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: mobilebert-uncased-finetuned-squadv1-231123
  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-finetuned-squadv1-231123

This model is a fine-tuned version of [mrm8488/mobilebert-uncased-finetuned-squadv1](https://huggingface.co/mrm8488/mobilebert-uncased-finetuned-squadv1) on the squad dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1338

## 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: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.8437        | 1.0   | 22131 | 0.9812          |
| 0.7523        | 2.0   | 44262 | 1.0521          |
| 0.5809        | 3.0   | 66393 | 1.1338          |


### Framework versions

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