bert-tiny-finetuned-squad

This model is a fine-tuned version of prajjwal1/bert-tiny on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.9432

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
3.6759	1.0	2767	3.3358
3.2517	2.0	5534	3.0165
3.1717	3.0	8301	2.9432

Framework versions

• Transformers 4.48.0
• Pytorch 2.3.0+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0