---
license: apache-2.0
base_model: google/mobilebert-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mobilebert_500exs_10timesteps
  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

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: 0.7109
- Accuracy: 0.55

## 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-06
- train_batch_size: 32
- eval_batch_size: 32
- 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   | 16   | 3126378.25      | 0.45     |
| No log        | 2.0   | 32   | 2298910.5       | 0.45     |
| No log        | 3.0   | 48   | 1604316.0       | 0.45     |
| No log        | 4.0   | 64   | 1062719.5       | 0.45     |
| No log        | 5.0   | 80   | 620928.0        | 0.45     |
| No log        | 6.0   | 96   | 213084.875      | 0.45     |
| No log        | 7.0   | 112  | 11615.9521      | 0.45     |
| No log        | 8.0   | 128  | 3076.3987       | 0.45     |
| No log        | 9.0   | 144  | 2151.5054       | 0.45     |
| No log        | 10.0  | 160  | 1142.7941       | 0.45     |
| No log        | 11.0  | 176  | 6.6242          | 0.45     |
| No log        | 12.0  | 192  | 1.4116          | 0.45     |
| No log        | 13.0  | 208  | 0.8847          | 0.45     |
| No log        | 14.0  | 224  | 0.6917          | 0.54     |
| No log        | 15.0  | 240  | 0.7124          | 0.55     |
| No log        | 16.0  | 256  | 0.7109          | 0.55     |


### Framework versions

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