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bert-base-uncased-finetuned-cs605-4 – AI Model by rosamundlim94 | AlphaNeural AI
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rosamundlim94
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bert-base-uncased-finetuned-cs605-4
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transformers
safetensors
bert
multiple-choice
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
endpoints_compatible
us
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bert-base-uncased-finetuned-cs605-4
This model is a fine-tuned version of
google-bert/bert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.8716
Accuracy: 0.7674
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: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.5516
1.0
839
0.4861
0.7527
0.247
2.0
1678
0.6334
0.7748
0.0763
3.0
2517
0.8716
0.7674
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
