---
license: apache-2.0
base_model: google/electra-small-discriminator
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: HF_results
  results: []
---

<!-- 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. -->

# IMDB Sentiment Analysis

This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on the IMDB sentiment dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2403
- Accuracy: 0.9314
- F1: 0.9314

## 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: 0.0002
- train_batch_size: 48
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.3176        | 1.0   | 834  | 0.2002          | 0.9228   | 0.9228 |
| 0.1522        | 2.0   | 1668 | 0.2017          | 0.9281   | 0.9281 |
| 0.073         | 3.0   | 2502 | 0.2403          | 0.9314   | 0.9314 |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cpu
- Datasets 2.14.6
- Tokenizers 0.14.1