---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: DistilRoBERTa_Thunderbird-Anomaly_Baseline
  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. -->

# DistilRoBERTa_Thunderbird-Anomaly_Baseline

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: 0.0031
- Accuracy: 0.9999

## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.0958        | 1.0   | 1094  | 0.0623          | 0.9846   |
| 0.0514        | 2.0   | 2188  | 0.0340          | 0.9846   |
| 0.0261        | 3.0   | 3282  | 0.0168          | 0.9896   |
| 0.0147        | 4.0   | 4376  | 0.0095          | 1.0      |
| 0.01          | 5.0   | 5470  | 0.0061          | 1.0      |
| 0.0071        | 6.0   | 6564  | 0.0042          | 1.0      |
| 0.0058        | 7.0   | 7658  | 0.0031          | 1.0      |
| 0.0046        | 8.0   | 8752  | 0.0025          | 1.0      |
| 0.0043        | 9.0   | 9846  | 0.0022          | 1.0      |
| 0.0038        | 10.0  | 10940 | 0.0021          | 1.0      |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3