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