---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuned-self_mlm_mini
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: imdb
      type: imdb
      config: plain_text
      split: train
      args: plain_text
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.8224
    - name: F1
      type: f1
      value: 0.9025460930640913
---

<!-- 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. -->

# finetuned-self_mlm_mini

This model is a fine-tuned version of [muhtasham/bert-tiny-mlm-finetuned-imdb](https://huggingface.co/muhtasham/bert-tiny-mlm-finetuned-imdb) on the imdb dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6150
- Accuracy: 0.8224
- F1: 0.9025

## 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: 3e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 200

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.4426        | 2.55  | 500  | 0.4673          | 0.7928   | 0.8844 |
| 0.2845        | 5.1   | 1000 | 0.3099          | 0.8697   | 0.9303 |
| 0.2282        | 7.65  | 1500 | 0.3432          | 0.8589   | 0.9241 |
| 0.1819        | 10.2  | 2000 | 0.2702          | 0.8998   | 0.9472 |
| 0.1461        | 12.76 | 2500 | 0.4852          | 0.8344   | 0.9097 |
| 0.111         | 15.31 | 3000 | 0.6807          | 0.7950   | 0.8858 |
| 0.0883        | 17.86 | 3500 | 0.6150          | 0.8224   | 0.9025 |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2