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bert-base-uncased-large-peft – AI Model by alitolga | AlphaNeural AI
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alitolga
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bert-base-uncased-large-peft
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safetensors
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
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bert-base-uncased-large-peft
This model is a fine-tuned version of
bert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0004
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: 0.005
train_batch_size: 96
eval_batch_size: 96
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
2.713
1.0
189
0.3051
0.151
2.0
378
0.0274
0.0404
3.0
567
0.0045
0.0079
4.0
756
0.0005
0.0052
5.0
945
0.0004
Framework versions
Transformers 4.35.0
Pytorch 2.1.0+cu121
Datasets 2.14.6
Tokenizers 0.14.1
