---
license: apache-2.0
base_model: sentence-transformers/all-distilroberta-v1
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: all-distilroberta-v1-20240102
  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. -->

# all-distilroberta-v1-20240102

This model is a fine-tuned version of [sentence-transformers/all-distilroberta-v1](https://huggingface.co/sentence-transformers/all-distilroberta-v1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1413
- F1: 0.8025
- Roc Auc: 0.8744
- Accuracy: 0.7687

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 11

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
| No log        | 1.0   | 109  | 0.2310          | 0.5875 | 0.7128  | 0.4305   |
| No log        | 2.0   | 218  | 0.1775          | 0.7192 | 0.7950  | 0.5991   |
| No log        | 3.0   | 327  | 0.1571          | 0.7654 | 0.8255  | 0.6604   |
| No log        | 4.0   | 436  | 0.1499          | 0.7854 | 0.8516  | 0.7192   |
| 0.2013        | 5.0   | 545  | 0.1410          | 0.8000 | 0.8705  | 0.7593   |
| 0.2013        | 6.0   | 654  | 0.1413          | 0.8025 | 0.8744  | 0.7687   |
| 0.2013        | 7.0   | 763  | 0.1408          | 0.8018 | 0.8762  | 0.7731   |
| 0.2013        | 8.0   | 872  | 0.1454          | 0.7973 | 0.8753  | 0.7736   |
| 0.2013        | 9.0   | 981  | 0.1467          | 0.7966 | 0.8736  | 0.7692   |
| 0.0634        | 10.0  | 1090 | 0.1481          | 0.7928 | 0.8721  | 0.7672   |
| 0.0634        | 11.0  | 1199 | 0.1471          | 0.7945 | 0.8730  | 0.7692   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0