---
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
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# 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: 15160.7559
- Accuracy: 0.6

## 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-05
- 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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 7    | 164888.375      | 0.4      |
| No log        | 2.0   | 14   | 49532.4297      | 0.4      |
| No log        | 3.0   | 21   | 38923.6992      | 0.6      |
| No log        | 4.0   | 28   | 3229.375        | 0.35     |
| No log        | 5.0   | 35   | 30543.9062      | 0.6      |
| No log        | 6.0   | 42   | 43326.5703      | 0.4      |
| No log        | 7.0   | 49   | 17400.2754      | 0.6      |
| No log        | 8.0   | 56   | 15160.7559      | 0.6      |


### Framework versions

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