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bert-base-uncased-finetuned-filtered-0608_test – AI Model by YeRyeongLee | AlphaNeural AI
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YeRyeongLee
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bert-base-uncased-finetuned-filtered-0608_test
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transformers
pytorch
bert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bert-base-uncased-finetuned-filtered-0608_test
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: 0.1009
Accuracy: 0.9777
Precision: 0.9778
Recall: 0.9777
F1: 0.9777
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
0.1184
1.0
3180
0.1009
0.9777
0.9778
0.9777
0.9777
Framework versions
Transformers 4.19.2
Pytorch 1.9.1+cu111
Datasets 1.16.1
Tokenizers 0.12.1
