---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: tiny-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: 0.88952
    - name: F1
      type: f1
      value: 0.9415301240526694
---

<!-- 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. -->

# tiny-mlm-imdb-target-imdb

This model is a fine-tuned version of [muhtasham/tiny-mlm-imdb](https://huggingface.co/muhtasham/tiny-mlm-imdb) on the imdb dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2699
- Accuracy: 0.8895
- F1: 0.9415

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.5432        | 0.64  | 500  | 0.3567          | 0.8578   | 0.9235 |
| 0.366         | 1.28  | 1000 | 0.3687          | 0.8414   | 0.9138 |
| 0.32          | 1.92  | 1500 | 0.2648          | 0.8922   | 0.9430 |
| 0.2868        | 2.56  | 2000 | 0.3868          | 0.8314   | 0.9079 |
| 0.2671        | 3.2   | 2500 | 0.3092          | 0.8774   | 0.9347 |
| 0.248         | 3.84  | 3000 | 0.2699          | 0.8895   | 0.9415 |


### Framework versions

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