---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
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: 0.3008
- Accuracy: 0.9417

## 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: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.68  | 100  | 0.3234          | 0.8932   |
| No log        | 1.35  | 200  | 0.3211          | 0.9029   |
| No log        | 2.03  | 300  | 0.3265          | 0.9126   |
| No log        | 2.7   | 400  | 0.3553          | 0.9126   |
| No log        | 3.38  | 500  | 0.3894          | 0.9223   |
| 0.2663        | 4.05  | 600  | 0.3379          | 0.9223   |
| 0.2663        | 4.73  | 700  | 0.2877          | 0.9320   |
| 0.2663        | 5.41  | 800  | 0.3072          | 0.9417   |
| 0.2663        | 6.08  | 900  | 0.2992          | 0.9320   |
| 0.2663        | 6.76  | 1000 | 0.3008          | 0.9417   |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3