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---
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
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