metadata

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: []

finetuning-hatespeech-model-deberta

This model is a fine-tuned version of 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