This model is a fine-tuned version of distilbert-base-cased-distilled-squad on an unknown dataset.
It achieves the following results on the evaluation set:
eval_loss: 0.5166
eval_runtime: 308.8216
eval_samples_per_second: 1.039
eval_steps_per_second: 0.068
epoch: 6.0
step: 126
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
