---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuned-self_mlm_small
  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: 0.9372
    - name: F1
      type: f1
      value: 0.9675820772248607
---

<!-- 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_small

This model is a fine-tuned version of [muhtasham/bert-small-mlm-finetuned-imdb](https://huggingface.co/muhtasham/bert-small-mlm-finetuned-imdb) on the imdb dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3759
- Accuracy: 0.9372
- F1: 0.9676

## 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: 64
- eval_batch_size: 64
- 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     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.2834        | 1.28  | 500  | 0.2254          | 0.9150   | 0.9556 |
| 0.1683        | 2.56  | 1000 | 0.3738          | 0.8694   | 0.9301 |
| 0.1069        | 3.84  | 1500 | 0.2102          | 0.9354   | 0.9666 |
| 0.0651        | 5.12  | 2000 | 0.2278          | 0.9446   | 0.9715 |
| 0.0412        | 6.39  | 2500 | 0.4061          | 0.9156   | 0.9559 |
| 0.0316        | 7.67  | 3000 | 0.4371          | 0.9110   | 0.9534 |
| 0.0219        | 8.95  | 3500 | 0.3759          | 0.9372   | 0.9676 |


### Framework versions

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