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hate_speech_test1 – AI Model by iTroned | AlphaNeural AI
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hate_speech_test1
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transformers
safetensors
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
endpoints_compatible
us
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hate_speech_test1
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3887
Accuracy: 0.8221
F1: 0.8259
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: 10
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.5533
1.0
828
0.4514
0.7209
0.6040
0.4991
2.0
1656
0.3887
0.8221
0.8259
0.4379
3.0
2484
0.3963
0.8442
0.8401
0.3675
4.0
3312
0.4296
0.8267
0.8287
Framework versions
Transformers 4.45.2
Pytorch 2.5.0+cu124
Datasets 3.0.1
Tokenizers 0.20.1
