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roberta-base-finetuned-hate_speech-best – AI Model by Doowon96 | AlphaNeural AI
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Doowon96
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roberta-base-finetuned-hate_speech-best
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
klue/roberta-base
finetune
autotrain_compatible
endpoints_compatible
us
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roberta-base-finetuned-hate_speech-best
This model is a fine-tuned version of
klue/roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.9992
F1: 0.6290
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: 2.237588569580688e-05
train_batch_size: 8
eval_batch_size: 8
seed: 39
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
F1
0.903
1.0
691
0.7957
0.6028
0.7236
2.0
1382
0.7965
0.6316
0.4621
3.0
2073
0.9992
0.6290
Framework versions
Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2
