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model.weight – AI Model by zengwenxuan | AlphaNeural AI
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model.weight
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safetensors
bert
generated_from_trainer
google-bert/bert-base-uncased
finetune
us
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Model card
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experiments
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: 0.6007
Accuracy: 0.7978
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: 256
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1.0
Training results
Framework versions
Transformers 4.39.2
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2
