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toxic_classification – AI Model by romul771 | AlphaNeural AI | AlphaNeural AI
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romul771
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toxic_classification
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transformers
pytorch
distilbert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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toxic_classification
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
F1: 0.8372
Loss: 0.3763
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: 3e-05
train_batch_size: 64
eval_batch_size: 64
seed: 12345
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
F1
Validation Loss
0.3312
1.0
11947
0.8268
0.2038
0.1978
2.0
23894
0.8372
0.3763
Framework versions
Transformers 4.28.1
Pytorch 1.8.1+cpu
Datasets 2.11.0
Tokenizers 0.11.0
