---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-tickets
  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-base-uncased-finetuned-tickets

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: 0.4542
- Accuracy: 0.869
- F1: 0.8626

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 2.2847        | 1.0   | 110  | 1.3868          | 0.681    | 0.6215 |
| 1.1164        | 2.0   | 220  | 0.8190          | 0.804    | 0.7759 |
| 0.7155        | 3.0   | 330  | 0.6261          | 0.833    | 0.8127 |
| 0.5457        | 4.0   | 440  | 0.5272          | 0.859    | 0.8464 |
| 0.4425        | 5.0   | 550  | 0.4858          | 0.868    | 0.8586 |
| 0.3716        | 6.0   | 660  | 0.4751          | 0.868    | 0.8606 |
| 0.3212        | 7.0   | 770  | 0.4630          | 0.865    | 0.8573 |
| 0.2819        | 8.0   | 880  | 0.4587          | 0.874    | 0.8681 |
| 0.2709        | 9.0   | 990  | 0.4538          | 0.874    | 0.8676 |
| 0.2375        | 10.0  | 1100 | 0.4542          | 0.869    | 0.8626 |


### Framework versions

- Transformers 4.27.1
- Pytorch 2.0.0
- Datasets 2.10.1
- Tokenizers 0.13.2