This model is a fine-tuned version of distilbert/distilroberta-base on the eli5_category dataset.
It achieves the following results on the evaluation set:
eval_loss: 2.0817
eval_runtime: 21.4059
eval_samples_per_second: 124.965
eval_steps_per_second: 15.65
epoch: 0.0046
step: 6
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: 8
eval_batch_size: 8
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
