Flant5-offensive-multilingual – AI Model by JenniferHJF | AlphaNeural AI

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JenniferHJF/
Flant5-offensive-multilingual

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text2text-generation

generated_from_trainer

google/flan-t5-base

text-generation-inference

endpoints_compatible

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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