---
base_model: DistilBertForSequenceClassification
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: finetuned-imdb
  results: []
---

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# finetuned-imdb

This model is a fine-tuned version of [DistilBertForSequenceClassification](https://huggingface.co/DistilBertForSequenceClassification) on the imdb dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4994

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4041        | 1.0   | 625  | 0.2722          |
| 0.2358        | 2.0   | 1250 | 0.3961          |
| 0.1243        | 3.0   | 1875 | 0.4994          |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3