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finetuned-tiny-bert – AI Model by Bul11k | AlphaNeural AI
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Bul11k
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finetuned-tiny-bert
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transformers
tensorboard
safetensors
bert
fill-mask
generated_from_trainer
cointegrated/rubert-tiny
finetune
mit
autotrain_compatible
endpoints_compatible
us
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finetuned-tiny-bert
This model is a fine-tuned version of
cointegrated/rubert-tiny
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.5832
Accuracy: 0.5167
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: 32
eval_batch_size: 32
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 4.39.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2
