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Shruthikaa/
muril_classification

Name: muril_classification
Rating: 2.5 (6 reviews)

generated_from_trainer

google/muril-base-cased

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muril_classification

This model is a fine-tuned version of google/muril-base-cased on Hate and Offensive Comments dataset. It achieves the following results on the evaluation set:

Loss: 0.4072
Accuracy: 0.843

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	Accuracy
0.6127	1.0	625	0.4807	0.809
0.4818	2.0	1250	0.4072	0.843

Framework versions

Transformers 4.32.1
Pytorch 2.2.1+cpu
Datasets 2.12.0
Tokenizers 0.13.2

Shruthikaa/muril_classification

muril_classification

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Shruthikaa/
muril_classification