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bert-mean-mrpc-maxlen128-drop0.1-lr2.6e-05-epochs3-bs16 – AI Model by barkinbaydar | AlphaNeural AI
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bert-mean-mrpc-maxlen128-drop0.1-lr2.6e-05-epochs3-bs16
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transformers
safetensors
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
endpoints_compatible
us
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Model card
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bert-mean-mrpc-maxlen128-drop0.1-lr2.6e-05-epochs3-bs16
This model is a fine-tuned version of
bert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5839
Accuracy: 0.8371
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: 2.5538612906308448e-05
train_batch_size: 16
eval_batch_size: 16
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
0.5116
1.0
230
0.3829
0.8309
0.3359
2.0
460
0.3838
0.8407
0.1714
3.0
690
0.4767
0.8676
Framework versions
Transformers 4.57.2
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
