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google_mobilebert-uncased_fold_3 – AI Model by OliverHeine | AlphaNeural AI
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OliverHeine
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google_mobilebert-uncased_fold_3
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transformers
safetensors
mobilebert
text-classification
generated_from_trainer
google/mobilebert-uncased
finetune
apache-2.0
endpoints_compatible
us
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google_mobilebert-uncased_fold_3
This model is a fine-tuned version of
google/mobilebert-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1173
Accuracy: 0.9583
F1: 0.9542
Precision: 0.9601
Recall: 0.9485
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: 40
eval_batch_size: 40
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.1216
1.0
15481
0.1380
0.9483
0.9423
0.9645
0.9211
0.1359
2.0
30962
0.1113
0.9568
0.9528
0.9546
0.9510
0.0927
3.0
46443
0.1173
0.9583
0.9542
0.9601
0.9485
Framework versions
Transformers 5.3.0
Pytorch 2.10.0+cu128
Datasets 4.6.1
Tokenizers 0.22.2
