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boss-toxicity-3000-bert-base-uncased – AI Model by Kyle1668 | AlphaNeural AI
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Kyle1668
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boss-toxicity-3000-bert-base-uncased
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transformers
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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boss-toxicity-3000-bert-base-uncased
This model is a fine-tuned version of
bert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
F1: 0.7041
Acc: 0.8559
Loss: 0.7057
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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 20
Training results
Training Loss
Epoch
Step
F1
Acc
Validation Loss
No log
1.0
188
0.5425
0.6756
0.5975
No log
2.0
376
0.7372
0.8909
0.2901
0.4492
3.0
564
0.7260
0.8775
0.3477
0.4492
4.0
752
0.6595
0.8084
0.8310
0.4492
5.0
940
0.7041
0.8559
0.7057
Framework versions
Transformers 4.35.0
Pytorch 2.1.0+cu121
Datasets 2.14.6
Tokenizers 0.14.1
