HATE_Pfinal_2e-5_16_2

This model is a fine-tuned version of Hate-speech-CNERG/dehatebert-mono-spanish on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2569
• F1: 0.6748

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.3025	1.0	669	0.2434	0.6724
0.2559	2.0	1338	0.2569	0.6748

Framework versions

• Transformers 4.28.0
• Pytorch 1.13.1+cu117
• Datasets 2.12.0
• Tokenizers 0.13.3