---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-imdb
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-uncased-finetuned-imdb

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4294

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2498        | 1.0   | 3    | 1.1873          |
| 1.2651        | 2.0   | 6    | 1.2470          |
| 1.1038        | 3.0   | 9    | 0.6763          |
| 0.8357        | 4.0   | 12   | 0.5234          |
| 0.7296        | 5.0   | 15   | 0.4972          |
| 0.6506        | 6.0   | 18   | 0.4935          |
| 0.66          | 7.0   | 21   | 0.4576          |
| 0.5508        | 8.0   | 24   | 0.4905          |
| 0.5088        | 9.0   | 27   | 0.5120          |
| 0.4866        | 10.0  | 30   | 0.4520          |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.10.0
- Datasets 2.6.1
- Tokenizers 0.13.2