metadata

library_name: transformers
license: apache-2.0
base_model: distilbert/distilbert-base-cased-distilled-squad
tags:
  - generated_from_trainer
model-index:
  - name: distilbert-base-cased-distilled-squad-finetuned-math-benchmark
    results: []

distilbert-base-cased-distilled-squad-finetuned-math-benchmark

This model is a fine-tuned version of distilbert/distilbert-base-cased-distilled-squad 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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.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: 1

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	6	0.0013

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0