---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased_imdb_reviews
  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. -->

# distilbert-base-uncased_imdb_reviews

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: 0.2549

## 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: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.385         | 0.4   | 500  | 0.3796          |
| 0.2803        | 0.8   | 1000 | 0.2549          |
| 0.208         | 1.2   | 1500 | 0.3218          |
| 0.1655        | 1.6   | 2000 | 0.2577          |
| 0.153         | 2.0   | 2500 | 0.2718          |
| 0.0552        | 2.4   | 3000 | 0.3514          |
| 0.0667        | 2.8   | 3500 | 0.3427          |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2