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muhtasham
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finetuned-self_mlm_medium

Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
finetuned-self_mlm_medium
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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuned-self_mlm_medium
  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: 0.91304
    - name: F1
      type: f1
      value: 0.9545435537155521
---

<!-- 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_medium

This model is a fine-tuned version of [muhtasham/bert-medium-mlm-finetuned-imdb](https://huggingface.co/muhtasham/bert-medium-mlm-finetuned-imdb) on the imdb dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3215
- Accuracy: 0.9130
- F1: 0.9545

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.2916        | 0.64  | 500  | 0.2293          | 0.9087   | 0.9522 |
| 0.1969        | 1.28  | 1000 | 0.1605          | 0.9442   | 0.9713 |
| 0.1511        | 1.92  | 1500 | 0.1787          | 0.9406   | 0.9694 |
| 0.1046        | 2.56  | 2000 | 0.2280          | 0.9379   | 0.9680 |
| 0.0852        | 3.2   | 2500 | 0.3215          | 0.9130   | 0.9545 |


### Framework versions

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