---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
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 the imdb dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3811

## 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7046        | 1.0   | 157  | 2.4782          |
| 2.5679        | 2.0   | 314  | 2.4108          |
| 2.5028        | 3.0   | 471  | 2.4121          |
| 2.4825        | 4.0   | 628  | 2.3589          |
| 2.4593        | 5.0   | 785  | 2.4074          |
| 2.4294        | 6.0   | 942  | 2.3742          |
| 2.4258        | 7.0   | 1099 | 2.3706          |
| 2.4152        | 8.0   | 1256 | 2.3315          |
| 2.409         | 9.0   | 1413 | 2.3809          |
| 2.3908        | 10.0  | 1570 | 2.3394          |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1