my_awesome_squad_model

This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.9980

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: 16
• eval_batch_size: 32
• 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
• training_steps: 50

Training results

Training Loss	Epoch	Step	Validation Loss
4.3151	0.3968	25	2.6975
1.0528	0.7937	50	0.9980

Framework versions

• Transformers 5.12.0
• Pytorch 2.12.0
• Datasets 5.0.0
• Tokenizers 0.22.2