---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
base_model: yangheng/deberta-v3-base-absa-v1.1
model-index:
- name: finetuning-hatespeech-model-deberta
  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. -->

# finetuning-hatespeech-model-deberta

This model is a fine-tuned version of [yangheng/deberta-v3-base-absa-v1.1](https://huggingface.co/yangheng/deberta-v3-base-absa-v1.1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2667
- Accuracy: 0.9639
- F1 score: 0.3704
- Precision: 0.5556
- Recall: 0.2778

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results



### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.2