---
noteId: "dcddc7a0091511ef947f01a7904e0672"
tags:
  - "generated_from_trainer"
license: "apache-2.0"
metrics:
  - "f1"
model-index:
  - name: "distilbert_alcohol_classifier"
    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_alcohol_classifier

This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0028
- F1: 0.9985

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.0035        | 1.0   | 760  | 0.0132          | 0.9964 |
| 0.0071        | 2.0   | 1520 | 0.0050          | 0.9985 |
| 0.0025        | 3.0   | 2280 | 0.0051          | 0.9985 |
| 0.0001        | 4.0   | 3040 | 0.0028          | 0.9985 |
| 0.0009        | 5.0   | 3800 | 0.0028          | 0.9985 |


### Framework versions

- Transformers 4.29.2
- Pytorch 1.13.1+cu116
- Datasets 2.19.0
- Tokenizers 0.13.3