Flant5-offensive-multilingual

This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0012
• Precision: 0.6875
• Recall: 0.6040
• F1: 0.6430
• Total Predictions: 3532

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: 5e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Total Predictions
0.2343	1.0	3753	0.0011	0.5924	0.6481	0.6190	3532
0.0008	2.0	7506	0.0010	0.6903	0.5416	0.6070	3532
0.0006	3.0	11259	0.0011	0.6012	0.7238	0.6569	3532
0.0005	4.0	15012	0.0011	0.6882	0.5765	0.6274	3532
0.0004	5.0	18765	0.0012	0.6875	0.6040	0.6430	3532

Framework versions

• Transformers 4.39.3
• Pytorch 2.0.0+cu118
• Datasets 2.18.0
• Tokenizers 0.15.2