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google_mobilebert-uncased_train_v2 – AI Model by OliverHeine | AlphaNeural AI
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OliverHeine
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google_mobilebert-uncased_train_v2
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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_train_v2
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: 0.1211
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: 32
eval_batch_size: 32
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
0.1664
1.0
16723
4.1265
0.0922
2.0
33446
0.1203
0.0990
3.0
50169
0.1211
Framework versions
Transformers 5.3.0
Pytorch 2.10.0+cu128
Datasets 4.6.1
Tokenizers 0.22.2
