---
license: apache-2.0
base_model: google/mobilebert-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mobilebert_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_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: 7541494.5
- Accuracy: 0.0

## 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   | 5    | 11089919.0      | 0.0      |
| No log        | 2.0   | 10   | 10502712.0      | 0.0      |
| No log        | 3.0   | 15   | 10016729.0      | 0.0      |
| No log        | 4.0   | 20   | 9591635.0       | 0.0      |
| No log        | 5.0   | 25   | 9214009.0       | 0.0      |
| No log        | 6.0   | 30   | 8899205.0       | 0.0      |
| No log        | 7.0   | 35   | 8633617.0       | 0.0      |
| No log        | 8.0   | 40   | 8408112.0       | 0.0      |
| No log        | 9.0   | 45   | 8206867.0       | 0.0      |
| No log        | 10.0  | 50   | 8033762.5       | 0.0      |
| No log        | 11.0  | 55   | 7887077.0       | 0.0      |
| No log        | 12.0  | 60   | 7766791.0       | 0.0      |
| No log        | 13.0  | 65   | 7670611.0       | 0.0      |
| No log        | 14.0  | 70   | 7600864.0       | 0.0      |
| No log        | 15.0  | 75   | 7557492.0       | 0.0      |
| No log        | 16.0  | 80   | 7541494.5       | 0.0      |


### Framework versions

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