Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
fine-tuned-tiny-bert-base-uncased-large-dataset – AI Model by soongbren | AlphaNeural AI
You can deploy this model and start earning money today!
soongbren
/
fine-tuned-tiny-bert-base-uncased-large-dataset
like
0
transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
patrickxchong/bert-tiny-bahasa-cased-sentiment
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
fine-tuned-tiny-bert-base-uncased-large-dataset
This model is a fine-tuned version of
patrickxchong/bert-tiny-bahasa-cased-sentiment
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.0000
eval_accuracy: {'accuracy': 1.0}
eval_f1score: {'f1': 1.0}
eval_runtime: 7.9696
eval_samples_per_second: 115.188
eval_steps_per_second: 14.43
step: 0
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: 0.0002
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: 642
num_epochs: 7
Framework versions
Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
