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bert-finetuned-sem_eval-english – AI Model by jairNeto | AlphaNeural AI
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jairNeto
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bert-finetuned-sem_eval-english
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
Jairnetojp/content-moderation
finetune
autotrain_compatible
endpoints_compatible
us
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bert-finetuned-sem_eval-english
This model is a fine-tuned version of
Jairnetojp/content-moderation
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2343
F1: 0.5458
Roc Auc: 0.7829
Accuracy: 0.4655
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: 128
eval_batch_size: 128
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
F1
Roc Auc
Accuracy
No log
1.0
232
0.2283
0.5361
0.7829
0.4503
No log
2.0
464
0.2343
0.5458
0.7829
0.4655
0.069
3.0
696
0.2461
0.5392
0.7832
0.4544
Framework versions
Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
