---
license: mit
base_model: csarron/mobilebert-uncased-squad-v1
tags:
- generated_from_trainer
model-index:
- name: MobileBERT-uncased-squad-v1-BiLSTM-finetuned-squad-fc1-fullunfreeze-dropout02
  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-v1-BiLSTM-finetuned-squad-fc1-fullunfreeze-dropout02

This model is a fine-tuned version of [csarron/mobilebert-uncased-squad-v1](https://huggingface.co./csarron/mobilebert-uncased-squad-v1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0898

## 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: 3e-05
- train_batch_size: 6
- eval_batch_size: 60
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.6956        | 1.0   | 14619 | 1.0271          |
| 0.5183        | 2.0   | 29238 | 1.0898          |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1