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# distilbert-base-uncased

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2250
- Accuracy: 0.9322

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2256        | 1.0   | 1563 | 0.2599          | 0.9039   |
| 0.1528        | 2.0   | 3126 | 0.2250          | 0.9322   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
{"tags": ["generated_from_trainer"], "datasets": ["imdb"], "metrics": ["accuracy"], "pipeline_tag": "text-classification", "model-index": [{"name": "distilbert-base-uncased", "results": []}]}
transformers tensorboard safetensors distilbert text-classification generated_from_trainer dataset:imdb autotrain_compatible endpoints_compatible region:us