---
base_model: mrm8488/mobilebert-uncased-finetuned-squadv1
tags:
- generated_from_trainer
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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9911

## 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   | 261  | 2.3054          |
| 2.2403        | 2.0   | 522  | 2.1807          |
| 2.2403        | 3.0   | 783  | 2.9374          |
| 1.7505        | 4.0   | 1044 | 2.2380          |
| 1.7505        | 5.0   | 1305 | 2.4475          |
| 1.3342        | 6.0   | 1566 | 2.4172          |
| 1.3342        | 7.0   | 1827 | 2.6019          |
| 1.1435        | 8.0   | 2088 | 2.7694          |
| 1.1435        | 9.0   | 2349 | 2.9024          |
| 0.968         | 10.0  | 2610 | 2.9911          |


### Framework versions

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