---
license: apache-2.0
base_model: google/mobilebert-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mobilebert_trajectory_proof0
  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_trajectory_proof0

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: 16478.7676
- Accuracy: 0.7

## 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: 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   | 13   | 3802792.75      | 0.7      |
| No log        | 2.0   | 26   | 3156379.5       | 0.7      |
| No log        | 3.0   | 39   | 2625222.75      | 0.7      |
| No log        | 4.0   | 52   | 2124862.75      | 0.7      |
| No log        | 5.0   | 65   | 1716339.0       | 0.7      |
| No log        | 6.0   | 78   | 1375630.5       | 0.7      |
| No log        | 7.0   | 91   | 1055760.0       | 0.7      |
| No log        | 8.0   | 104  | 741251.0        | 0.7      |
| No log        | 9.0   | 117  | 451555.9375     | 0.7      |
| No log        | 10.0  | 130  | 227678.9219     | 0.7      |
| No log        | 11.0  | 143  | 82893.1172      | 0.7      |
| No log        | 12.0  | 156  | 48836.0117      | 0.7      |
| No log        | 13.0  | 169  | 33417.5430      | 0.7      |
| No log        | 14.0  | 182  | 21012.9023      | 0.7      |
| No log        | 15.0  | 195  | 17473.7871      | 0.7      |
| No log        | 16.0  | 208  | 16478.7676      | 0.7      |


### Framework versions

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