Edit model card

distilhubert-finetuned-ravdess

This model is a fine-tuned version of ntu-spml/distilhubert on the RAVDESS dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2810
  • Accuracy: 0.9236

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Accuracy
1.7599 1.0 162 1.7350 0.3264
1.3271 2.0 324 1.1987 0.5972
0.8845 3.0 486 0.8824 0.7639
0.6083 4.0 648 0.5919 0.8403
0.4952 5.0 810 0.4469 0.8611
0.1386 6.0 972 0.3736 0.8681
0.1028 7.0 1134 0.3645 0.8819
0.053 8.0 1296 0.3079 0.9028
0.0149 9.0 1458 0.2723 0.9236
0.0154 10.0 1620 0.2810 0.9236

Framework versions

  • Transformers 4.30.2
  • Pytorch 2.0.0
  • Datasets 2.13.0
  • Tokenizers 0.13.3
Downloads last month
77
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for pollner/distilhubert-finetuned-ravdess

Finetunes
1 model

Dataset used to train pollner/distilhubert-finetuned-ravdess

Space using pollner/distilhubert-finetuned-ravdess 1