---
library_name: transformers
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-imdb-sentiment
  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-imdb-sentiment

This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4840
- Accuracy: 0.9314
- F1: 0.9318

## 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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.06
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
| 0.4753        | 0.6394 | 500  | 0.4521          | 0.9114   | 0.9151 |
| 0.3099        | 1.2788 | 1000 | 0.4450          | 0.9250   | 0.9262 |
| 0.2935        | 1.9182 | 1500 | 0.3898          | 0.9290   | 0.9299 |
| 0.2234        | 2.5575 | 2000 | 0.4829          | 0.9307   | 0.9301 |
| 0.1981        | 3.0    | 2346 | 0.4840          | 0.9314   | 0.9318 |


### Framework versions

- Transformers 5.6.1
- Pytorch 2.11.0+cu130
- Datasets 4.8.4
- Tokenizers 0.22.2