This model is a fine-tuned version of ntu-spml/distilhubert on the Hindustani Raag Small (Bageshree & Bheempalas subset) dataset.
It achieves the following results on the evaluation set:
eval_loss: 2.1985
eval_accuracy: 0.7
eval_runtime: 2.6715
eval_samples_per_second: 3.743
eval_steps_per_second: 3.743
epoch: 14.0
step: 532
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: 5e-05
train_batch_size: 1
eval_batch_size: 1
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
