---
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: bbq-distil_bumble_bert-classification
  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. -->

# bbq-distil_bumble_bert-classification

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: 0.6413
- Accuracy: 0.6611
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Roc Auc: 0.4923

## 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: 16
- 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: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Precision | Recall | F1  | Roc Auc |
|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:---:|:-------:|
| 0.6527        | 0.1709 | 500  | 0.6433          | 0.6611   | 0.0       | 0.0    | 0.0 | 0.4982  |
| 0.6229        | 0.3419 | 1000 | 0.6458          | 0.6611   | 0.0       | 0.0    | 0.0 | 0.5011  |
| 0.6258        | 0.5128 | 1500 | 0.6403          | 0.6611   | 0.0       | 0.0    | 0.0 | 0.5120  |
| 0.6595        | 0.6838 | 2000 | 0.6413          | 0.6611   | 0.0       | 0.0    | 0.0 | 0.4923  |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0