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english-abusive-MuRIL-finetuned – AI Model by fahad1247 | AlphaNeural AI
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english-abusive-MuRIL-finetuned
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
afl-3.0
autotrain_compatible
endpoints_compatible
us
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english-abusive-MuRIL-finetuned
This model is a fine-tuned version of
Hate-speech-CNERG/english-abusive-MuRIL
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6601
Accuracy: 0.7921
F1: 0.8423
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.4573
1.0
1548
0.5062
0.7956
0.8478
0.398
2.0
3096
0.5229
0.7886
0.8381
0.3477
3.0
4644
0.6601
0.7921
0.8423
Framework versions
Transformers 4.16.2
Pytorch 1.12.1+cu113
Datasets 1.18.3
Tokenizers 0.13.2
