---
license: mit
tags:
- generated_from_trainer
model-index:
- name: deberta-v3-large-harmfulness
  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. -->

# deberta-v3-large-harmfulness

This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1439
- Mse: 1.1439

## 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
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 1.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Mse    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 2.1055        | 0.06  | 50   | 1.7626          | 1.7626 |
| 1.6818        | 0.12  | 100  | 1.4659          | 1.4659 |
| 1.4062        | 0.18  | 150  | 1.6323          | 1.6323 |
| 1.4777        | 0.24  | 200  | 1.3776          | 1.3776 |
| 1.4106        | 0.3   | 250  | 1.3044          | 1.3044 |
| 1.2702        | 0.37  | 300  | 1.3792          | 1.3792 |
| 1.4448        | 0.43  | 350  | 1.3048          | 1.3048 |
| 1.3582        | 0.49  | 400  | 1.2485          | 1.2485 |
| 1.2357        | 0.55  | 450  | 1.3709          | 1.3709 |
| 1.1075        | 0.61  | 500  | 1.2538          | 1.2538 |
| 1.2406        | 0.67  | 550  | 1.1996          | 1.1996 |
| 1.2309        | 0.73  | 600  | 1.2671          | 1.2671 |
| 1.194         | 0.79  | 650  | 1.4326          | 1.4326 |
| 1.2135        | 0.85  | 700  | 1.1763          | 1.1763 |
| 1.2196        | 0.91  | 750  | 1.1439          | 1.1439 |
| 1.1983        | 0.97  | 800  | 1.1711          | 1.1711 |


### Framework versions

- Transformers 4.30.1
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3