---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: base-mlm-imdb-target-imdb
  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: 0.89184
    - name: F1
      type: f1
      value: 0.942828146143437
---

<!-- 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. -->

# base-mlm-imdb-target-imdb

This model is a fine-tuned version of [muhtasham/base-mlm-imdb](https://huggingface.co/muhtasham/base-mlm-imdb) on the imdb dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4659
- Accuracy: 0.8918
- F1: 0.9428

## 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: 32
- eval_batch_size: 32
- 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     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.2453        | 0.64  | 500  | 0.1892          | 0.9334   | 0.9656 |
| 0.1764        | 1.28  | 1000 | 0.1267          | 0.9581   | 0.9786 |
| 0.117         | 1.92  | 1500 | 0.1926          | 0.9290   | 0.9632 |
| 0.0727        | 2.56  | 2000 | 0.3109          | 0.9182   | 0.9574 |
| 0.0665        | 3.2   | 2500 | 0.4659          | 0.8918   | 0.9428 |


### Framework versions

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