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bert-base-uncased-peft – AI Model by alitolga | AlphaNeural AI
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alitolga
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bert-base-uncased-peft
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safetensors
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
us
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bert-base-uncased-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: 2.5185
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
3.6291
1.0
260
3.2199
2.9545
2.0
520
2.7330
2.7622
3.0
780
2.5185
Framework versions
Transformers 4.35.0
Pytorch 2.1.0+cu121
Datasets 2.14.6
Tokenizers 0.14.1
