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TinyBERT_General_4L_312D-finetuned-toxic-classification – AI Model by shubhamitra | AlphaNeural AI
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TinyBERT_General_4L_312D-finetuned-toxic-classification
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transformers
pytorch
tensorboard
bert
text-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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TinyBERT_General_4L_312D-finetuned-toxic-classification
This model is a fine-tuned version of
huawei-noah/TinyBERT_General_4L_312D
on an unknown dataset.
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: 5e-05
train_batch_size: 64
eval_batch_size: 64
seed: 123
gradient_accumulation_steps: 4
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
F1
Roc Auc
Accuracy
No log
1.0
498
0.0483
0.7486
0.8563
0.9171
Framework versions
Transformers 4.20.1
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1
