---
license: apache-2.0
base_model: google/mobilebert-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mobilebert_1000exs_20timesteps_run
  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_1000exs_20timesteps_run

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: 0.8330
- Accuracy: 0.51

## 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: 64
- eval_batch_size: 64
- 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   | 3052559.25      | 0.51     |
| No log        | 2.0   | 32   | 2330149.0       | 0.51     |
| No log        | 3.0   | 48   | 1716418.75      | 0.51     |
| No log        | 4.0   | 64   | 1113477.0       | 0.51     |
| No log        | 5.0   | 80   | 524712.25       | 0.51     |
| No log        | 6.0   | 96   | 36429.3633      | 0.51     |
| No log        | 7.0   | 112  | 5025.1558       | 0.51     |
| No log        | 8.0   | 128  | 2793.7087       | 0.51     |
| No log        | 9.0   | 144  | 173.9886        | 0.51     |
| No log        | 10.0  | 160  | 1.6353          | 0.49     |
| No log        | 11.0  | 176  | 1.2341          | 0.49     |
| No log        | 12.0  | 192  | 0.9290          | 0.49     |
| No log        | 13.0  | 208  | 0.7376          | 0.49     |
| No log        | 14.0  | 224  | 0.7311          | 0.51     |
| No log        | 15.0  | 240  | 0.8214          | 0.51     |
| No log        | 16.0  | 256  | 0.8330          | 0.51     |


### Framework versions

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