---
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: distilbert-base-uncased-imdb
  results: []
language:
- en
library_name: transformers
pipeline_tag: text-classification
---

<!-- 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. -->

# distilbert-base-uncased-imdb

This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased)
on [Imdb Movie Reviews Sentiment Analysis (Kaggle)](https://www.kaggle.com/code/gauravduttakiit/imdb-movie-reviews-sentiment-analysis/data) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2898
- Accuracy: 0.9284
- Precision: 0.9281
- Recall: 0.9288
- F1: 0.9284

## 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: 2e-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: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.2727        | 1.0   | 625  | 0.2194          | 0.9178   | 0.8853    | 0.96   | 0.9211 |
| 0.1569        | 2.0   | 1250 | 0.2082          | 0.9236   | 0.8957    | 0.9588 | 0.9262 |
| 0.1211        | 3.0   | 1875 | 0.2739          | 0.9256   | 0.9379    | 0.9116 | 0.9245 |
| 0.0544        | 4.0   | 2500 | 0.2898          | 0.9284   | 0.9281    | 0.9288 | 0.9284 |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1