---
license: apache-2.0
base_model: google/mobilebert-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mobilebert_100exs_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_100exs_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: 886719.8125
- Accuracy: 0.3

## 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: 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   | 7    | 3096381.5       | 0.3      |
| No log        | 2.0   | 14   | 2705231.0       | 0.3      |
| No log        | 3.0   | 21   | 2380465.5       | 0.3      |
| No log        | 4.0   | 28   | 2136194.5       | 0.3      |
| No log        | 5.0   | 35   | 1909053.75      | 0.3      |
| No log        | 6.0   | 42   | 1667145.0       | 0.3      |
| No log        | 7.0   | 49   | 1493787.75      | 0.3      |
| No log        | 8.0   | 56   | 1344492.5       | 0.3      |
| No log        | 9.0   | 63   | 1218353.25      | 0.3      |
| No log        | 10.0  | 70   | 1119155.375     | 0.3      |
| No log        | 11.0  | 77   | 1045936.5       | 0.3      |
| No log        | 12.0  | 84   | 987271.5        | 0.3      |
| No log        | 13.0  | 91   | 942506.0        | 0.3      |
| No log        | 14.0  | 98   | 911861.0        | 0.3      |
| No log        | 15.0  | 105  | 893725.875      | 0.3      |
| No log        | 16.0  | 112  | 886719.8125     | 0.3      |


### Framework versions

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