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# distilroberta-helpdesk-intent

This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0011
- Accuracy: 0.9996
- F1: 0.9996

## 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: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| No log        | 0.66  | 2000  | 0.0191          | 0.9967   | 0.9967 |
| No log        | 1.32  | 4000  | 0.0102          | 0.9981   | 0.9981 |
| No log        | 1.98  | 6000  | 0.0072          | 0.9981   | 0.9981 |
| 0.0416        | 2.65  | 8000  | 0.0042          | 0.9993   | 0.9993 |
| 0.0416        | 3.31  | 10000 | 0.0029          | 0.9993   | 0.9993 |
| 0.0416        | 3.97  | 12000 | 0.0011          | 0.9996   | 0.9996 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilroberta-base", "model-index": [{"name": "distilroberta-helpdesk-intent", "results": []}]}
transformers tensorboard safetensors roberta text-classification generated_from_trainer base_model:distilroberta-base license:apache-2.0 autotrain_compatible endpoints_compatible region:us