---
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: imdb-distilbert
  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-distilbert

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: 1.4670
- Accuracy: 0.8528

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.3777        | 1.0   | 3125  | 0.4630          | 0.8263   |
| 0.2795        | 2.0   | 6250  | 0.4771          | 0.8549   |
| 0.1698        | 3.0   | 9375  | 0.5689          | 0.8526   |
| 0.1093        | 4.0   | 12500 | 0.9568          | 0.8460   |
| 0.0664        | 5.0   | 15625 | 1.0550          | 0.8470   |
| 0.0333        | 6.0   | 18750 | 1.1734          | 0.8487   |
| 0.0238        | 7.0   | 21875 | 1.1931          | 0.8482   |
| 0.0123        | 8.0   | 25000 | 1.2663          | 0.8507   |
| 0.0056        | 9.0   | 28125 | 1.3256          | 0.8549   |
| 0.0022        | 10.0  | 31250 | 1.4670          | 0.8528   |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0