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bert-tiny-finetuned-sst2-demo – AI Model by lbogg | AlphaNeural AI
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lbogg
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bert-tiny-finetuned-sst2-demo
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transformers
safetensors
bert
text-classification
generated_from_trainer
prajjwal1/bert-tiny
finetune
mit
endpoints_compatible
us
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bert-tiny-finetuned-sst2-demo
This model is a fine-tuned version of
prajjwal1/bert-tiny
on an unknown dataset.
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: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
63
0.6858
Framework versions
Transformers 4.57.0
Pytorch 2.8.0
Datasets 4.1.1
Tokenizers 0.22.1
