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berttiny-hate_speech18-bothpretrained – AI Model by joseph10 | AlphaNeural AI
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joseph10
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berttiny-hate_speech18-bothpretrained
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
hate_speech18
agvidit1/GoogleTinyBert_HateSpeech_pretrain
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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berttiny-hate_speech18-bothpretrained
This model is a fine-tuned version of
agvidit1/GoogleTinyBert_HateSpeech_pretrain
on the hate_speech18 dataset. It achieves the following results on the evaluation set:
Loss: 0.4682
Accuracy: 0.8798
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: 7.12739424754752e-05
train_batch_size: 16
eval_batch_size: 128
seed: 34
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.4804
1.0
479
0.4778
0.8624
0.4592
2.0
958
0.4688
0.8761
0.4471
3.0
1437
0.4681
0.8780
0.4405
4.0
1916
0.4682
0.8798
Framework versions
Transformers 4.36.0.dev0
Pytorch 2.1.1
Datasets 2.15.0
Tokenizers 0.15.0
