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Mahloromela/
Swahili-Classifier-cola

Name: Swahili-Classifier-cola
Rating: 2.5 (6 reviews)

generated_from_trainer

Mahloromela/Afriberta-Swahili-mlm_model

finetune

autotrain_compatible

endpoints_compatible

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Swahili-Classifier-cola

This model is a fine-tuned version of Mahloromela/Afriberta-Swahili-mlm_model on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2529
Accuracy: 0.9239
Precision: 0.9072
Recall: 0.9286
F1: 0.9178

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: 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.2814	1.0	1111	0.2625	0.9192	0.8940	0.9340	0.9136
0.2163	2.0	2222	0.2529	0.9239	0.9072	0.9286	0.9178
0.1654	3.0	3333	0.3101	0.9171	0.8809	0.9468	0.9127
0.1155	4.0	4444	0.3601	0.9142	0.9117	0.8996	0.9056
0.0844	5.0	5555	0.4159	0.9104	0.9000	0.9045	0.9023

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.0.2
Tokenizers 0.19.1

Mahloromela/Swahili-Classifier-cola

Swahili-Classifier-cola

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Mahloromela/
Swahili-Classifier-cola