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results – AI Model by sigioren | AlphaNeural AI
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transformers
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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This model is a fine-tuned version of
google-bert/bert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1275
F1: 0.7421
Accuracy: 0.9677
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: 0.0001
train_batch_size: 16
eval_batch_size: 64
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
F1
Accuracy
0.4435
0.7531
180
0.1608
0.5271
0.9520
0.2514
1.5063
360
0.1507
0.7283
0.9607
0.0034
2.2594
540
0.1275
0.7421
0.9677
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
