transformers pytorch bert text-classification generated_from_trainer dataset:imdb license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us
---
datasets:
- imdb
license: apache-2.0
metrics:
- accuracy
- f1
tags:
- generated_from_trainer
model-index:
- name: medium-mlm-imdb-target-imdb
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: imdb
      type: imdb
      config: plain_text
      split: train
      args: plain_text
    metrics:
    - type: accuracy
      value: 0.9064
      name: Accuracy
    - type: f1
      value: 0.9509022240872849
      name: F1
---

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# medium-mlm-imdb-target-imdb

This model is a fine-tuned version of [muhtasham/medium-mlm-imdb](https://huggingface.co/muhtasham/medium-mlm-imdb) on the imdb dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3883
- Accuracy: 0.9064
- F1: 0.9509

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.2923        | 0.64  | 500  | 0.1860          | 0.9310   | 0.9642 |
| 0.2049        | 1.28  | 1000 | 0.0830          | 0.9708   | 0.9852 |
| 0.1569        | 1.92  | 1500 | 0.1258          | 0.9547   | 0.9768 |
| 0.1067        | 2.56  | 2000 | 0.5306          | 0.8643   | 0.9272 |
| 0.0837        | 3.2   | 2500 | 0.3883          | 0.9064   | 0.9509 |


### Framework versions

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