Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
bert-base-uncased-finetuned-rte-run_32 – AI Model by tahak9 | AlphaNeural AI
You can deploy this model and start earning money today!
tahak9
/
bert-base-uncased-finetuned-rte-run_32
like
0
transformers
safetensors
bert
text-classification
generated_from_trainer
google-bert/bert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
bert-base-uncased-finetuned-rte-run_32
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: 0.6095
Accuracy: 0.7004
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: 8.759136556341271e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
78
0.6452
0.6643
No log
2.0
156
0.6095
0.7004
No log
3.0
234
0.7922
0.7004
No log
4.0
312
1.1649
0.6859
No log
5.0
390
1.2938
0.6931
Framework versions
Transformers 4.50.3
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.21.1
