---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-helpdesk-sentiment
  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-helpdesk-sentiment

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: 0.2184
- Accuracy: 0.9444
- F1: 0.9438

## 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: 8
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
| No log        | 0.8850 | 100  | 0.3924          | 0.8333   | 0.8306 |
| No log        | 1.7699 | 200  | 0.2473          | 0.9111   | 0.9099 |
| No log        | 2.6549 | 300  | 0.2417          | 0.9      | 0.8965 |
| No log        | 3.5398 | 400  | 0.1576          | 0.9556   | 0.9552 |
| 0.3432        | 4.4248 | 500  | 0.1598          | 0.9556   | 0.9552 |
| 0.3432        | 5.3097 | 600  | 0.2184          | 0.9444   | 0.9438 |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1