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bert-small-64-finetuned – AI Model by ryantaw | AlphaNeural AI
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ryantaw
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bert-small-64-finetuned
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
prajjwal1/bert-small
finetune
mit
autotrain_compatible
endpoints_compatible
us
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bert-small-64-finetuned
This model is a fine-tuned version of
prajjwal1/bert-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.4681
Accuracy: 0.5622
F1 Score: 0.5573
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: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 30
Training results
Framework versions
Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
