---
license: apache-2.0
base_model: google/mobilebert-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mobilebert_500exs_10timesteps_run1
  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_500exs_10timesteps_run1

This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6723
- Accuracy: 0.58

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 32   | 0.7404          | 0.57     |
| No log        | 2.0   | 64   | 0.7478          | 0.57     |
| No log        | 3.0   | 96   | 0.7952          | 0.57     |
| No log        | 4.0   | 128  | 0.6763          | 0.56     |
| No log        | 5.0   | 160  | 0.6819          | 0.58     |
| No log        | 6.0   | 192  | 0.6723          | 0.58     |
| No log        | 7.0   | 224  | 0.6994          | 0.57     |
| No log        | 8.0   | 256  | 0.8576          | 0.43     |
| No log        | 9.0   | 288  | 0.7126          | 0.46     |
| No log        | 10.0  | 320  | 0.7118          | 0.48     |
| No log        | 11.0  | 352  | 0.7136          | 0.57     |
| No log        | 12.0  | 384  | 0.6758          | 0.59     |
| No log        | 13.0  | 416  | 0.6921          | 0.55     |
| No log        | 14.0  | 448  | 0.6718          | 0.56     |
| No log        | 15.0  | 480  | 0.6725          | 0.57     |
| 130076.376    | 16.0  | 512  | 0.6723          | 0.58     |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0+cu118
- Datasets 2.17.1
- Tokenizers 0.15.2