---
license: apache-2.0
base_model: google/mobilebert-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mobilebert_500exs_10timesteps_run0
  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_run0

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: 0.7313
- Accuracy: 0.48

## 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: 8
- eval_batch_size: 8
- 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   | 63   | 0.7190          | 0.53     |
| No log        | 2.0   | 126  | 0.7219          | 0.47     |
| No log        | 3.0   | 189  | 0.6946          | 0.53     |
| No log        | 4.0   | 252  | 0.7081          | 0.46     |
| No log        | 5.0   | 315  | 0.7062          | 0.47     |
| No log        | 6.0   | 378  | 0.7014          | 0.47     |
| No log        | 7.0   | 441  | 0.7058          | 0.46     |
| 70646.992     | 8.0   | 504  | 0.6969          | 0.54     |
| 70646.992     | 9.0   | 567  | 0.7082          | 0.44     |
| 70646.992     | 10.0  | 630  | 0.8435          | 0.47     |
| 70646.992     | 11.0  | 693  | 0.7574          | 0.47     |
| 70646.992     | 12.0  | 756  | 0.6926          | 0.55     |
| 70646.992     | 13.0  | 819  | 0.7150          | 0.47     |
| 70646.992     | 14.0  | 882  | 0.7133          | 0.51     |
| 70646.992     | 15.0  | 945  | 0.7492          | 0.47     |
| 0.6741        | 16.0  | 1008 | 0.7313          | 0.48     |


### Framework versions

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